{"task_type": "generation", "dataset": "acos", "input": ["acer wants $ 170 to just look at it then add the repair cost on top of that ."], "output": "[['acer', 'support price', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["update : i repaired it myself for $ 12 ."], "output": "[['NULL', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i had nothing to lose since it was a paper weight otherwise ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the shame of it is knowing it took me 15 minutes and $ 12 to fix it and acer wanted to rob me of $ 170 just to look at it ."], "output": "[['acer', 'support general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["first one that they shipped was obviously defective , super slow and speakers were garbled ."], "output": "[['NULL', 'shipping general', 'negative', 'defective'], ['NULL', 'shipping general', 'negative', 'slow'], ['speakers', 'multimedia_devices general', 'negative', 'garbled']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the replacement i got was much better , but still too slow for my expectations ."], "output": "[['replacement', 'laptop quality', 'negative', 'slow']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i wound up returning it ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this works fine for that ."], "output": "[['NULL', 'laptop quality', 'positive', 'fine']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["october 12 , 2017 - - started having trouble maintaining connection to wifi ( spectrum service ) , but usually after several loops re - entering password , connection would be re - established ."], "output": "[['wifi', 'ports quality', 'negative', 'trouble']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["sometimes had to do several times , but thought it might be an idiosyncrady of this model ."], "output": "[['model', 'hardware general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["now i ' m really bummed that i have a very nice looking chromebook with a beautiful screen that is totally unusable ."], "output": "[['chromebook', 'laptop design_features', 'positive', 'nice'], ['chromebook', 'laptop operation_performance', 'negative', 'bummed'], ['chromebook', 'laptop operation_performance', 'negative', 'unusable'], ['screen', 'display operation_performance', 'positive', 'beautiful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i just got this thing today & was really excited about it but this has been frustrating & disappointing ."], "output": "[['NULL', 'laptop general', 'negative', 'frustrating'], ['NULL', 'laptop general', 'negative', 'disappointing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ll wait a while until this device gets 4 - 5 stars ."], "output": "[['device', 'laptop operation_performance', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["there are certain very basic tasks that this computer can do ."], "output": "[['computer', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["a lot of websites don ' t work properly with the chromebook , even though you ' re using the same browser ."], "output": "[['chromebook', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall , this thing can do very basic stuff , sometimes ."], "output": "[['NULL', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["pro : light , reasonable price , fast ."], "output": "[['NULL', 'laptop design_features', 'positive', 'light'], ['NULL', 'laptop operation_performance', 'positive', 'fast'], ['price', 'laptop price', 'positive', 'reasonable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["keyboard key fragile ."], "output": "[['keyboard', 'keyboard quality', 'negative', 'fragile']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["after 6 months my eyboard key is not function very well ."], "output": "[['eyboard key', 'keyboard operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i only use the chormebook for surving the internet , checking my email , and watch hulu or netflix ."], "output": "[['chormebook', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is something to reconsidered if one to buy the chromebook for doing homework and a lot of typing ."], "output": "[['chromebook', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["up date per may 13 / 2018 about two months ago , the charger wont work ."], "output": "[['charger', 'power_supply quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so latest update the charger only last about one year and the half ."], "output": "[['charger', 'power_supply general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall , it is not horrible , but i wouldn ' t purchase this model again ."], "output": "[['model', 'laptop general', 'negative', 'not horrible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- long battery life"], "output": "[['battery life', 'battery quality', 'positive', 'long']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- charges quickly"], "output": "[['NULL', 'power_supply operation_performance', 'positive', 'quickly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- screen feels smaller than other of the same size ."], "output": "[['screen', 'display design_features', 'negative', 'smaller']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it gets two stars because it is a nice light weight and the folding is nice ."], "output": "[['NULL', 'laptop portability', 'positive', 'nice'], ['NULL', 'laptop portability', 'positive', 'light'], ['folding', 'laptop design_features', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["two replacements had the same problem all in 4 weeks ."], "output": "[['replacements', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i already returned the first laptop because i had to press extremely hard to get the left click to work ."], "output": "[['laptop', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve had the device for 4 days now , and it has a number of big issues ."], "output": "[['device', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["next , is that the track pad is insanely wobbly ."], "output": "[['track pad', 'hardware operation_performance', 'negative', 'wobbly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["one of the worst offenders is the battery life ."], "output": "[['battery life', 'battery quality', 'negative', 'worst']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it also refuses to charge past 90 % and instantly jumps to 80 % when i unplug it ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["there are issues beyond these , but it ' s all software related so i will let it be ."], "output": "[['software', 'software general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["within two days of receiving this item a line appeared on my screen ( while i was using it , previously fine ) and below it the image / screen flickered ."], "output": "[['screen', 'display operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the flip and touchscreen aspects work fine , no problems ."], "output": "[['flip', 'hardware operation_performance', 'positive', 'fine'], ['touchscreen', 'hardware operation_performance', 'positive', 'fine']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it can not ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["screen looks good , it has a good battery life , keypad has some nice feedback , the works ."], "output": "[['screen', 'display design_features', 'positive', 'good'], ['battery life', 'battery quality', 'positive', 'NULL'], ['keypad', 'keyboard operation_performance', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but you can ' t use an acer chromebook r 11 this way ."], "output": "[['acer chromebook r 11', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["and the chromebook does not go to sleep or otherwise shut off ."], "output": "[['chromebook', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["loved it for an hour than it went black and we got a chrome os missing or damage message ."], "output": "[['chrome os', 'os quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["terrible product and worse customer service - - do not buy"], "output": "[['product', 'laptop general', 'negative', 'terrible'], ['customer service', 'support general', 'negative', 'worse']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we ordered this chromebook for my son to use for school ."], "output": "[['chromebook', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we received it in august , and it worked fine for just 5 months and then the touch screen stopped working ."], "output": "[['NULL', 'laptop operation_performance', 'neutral', 'fine'], ['touch screen', 'hardware operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it worked properly for less than a week , and the touch screen stopped functioning again ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL'], ['touch screen', 'hardware quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we contacted both acer and amazon , and they both informed us that it has to be sent back for repairs again ."], "output": "[['acer', 'support general', 'neutral', 'NULL'], ['amazon', 'support general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["good display"], "output": "[['display', 'display general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["good battery life"], "output": "[['battery life', 'battery quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["no fans and stays reasonably cool unless you are playing a game ."], "output": "[['fans', 'fans&cooling general', 'negative', 'NULL'], ['NULL', 'fans&cooling quality', 'positive', 'reasonably']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["build quality seems ok , keyboard is not flimsy or too firm ."], "output": "[['build quality', 'laptop quality', 'positive', 'ok'], ['keyboard', 'keyboard general', 'positive', 'not flimsy or too firm']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my understanding is that chromeos is a very light weight so i don ' t know why it lags sometimes with under 10 tabs open and a youtube video playing ."], "output": "[['chromeos', 'os operation_performance', 'positive', 'light']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i needed a small chromebook for light web use while traveling and this tablet does ok but considering the price i would have expected a better processor and keyboard lighting ."], "output": "[['processor', 'cpu price', 'negative', 'NULL'], ['keyboard', 'keyboard price', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my main complaint is the battery life , i see many positive reviews about the battery life ."], "output": "[['battery life', 'battery general', 'negative', 'complaint']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i just find the battery draining to quickly in my opinion ."], "output": "[['battery', 'battery operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i tried messing around in the dev mode to adjust the microphone sensitivity but nothing seems to work ."], "output": "[['microphone', 'multimedia_devices general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["plug - in or usb microphones seem to work fine , so it ' s not a terribly big issue and i don ' t really even use a microphone that often , but it ' s annoying to buy a product and not have it working ."], "output": "[['product', 'laptop general', 'negative', 'annoying']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the broken mic was not a dealbreaker but annoying in a brand new device ."], "output": "[['mic', 'multimedia_devices general', 'negative', 'annoying']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["in addition , in my short time using the device , i realized how much i dislike having fingerprints on my computer screen ."], "output": "[['fingerprints', 'out_of_scope general', 'negative', 'dislike']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["good looking laptop but hardware has several major problems ."], "output": "[['laptop', 'laptop design_features', 'positive', 'good looking'], ['hardware', 'hardware general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["microphone is not really working ( you have to basically yell while alsmost touching it with you lips in order for someone else to hear you ) ."], "output": "[['microphone', 'multimedia_devices operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["when switching between tablet and laptop mode quickly the screen will blink and turn off for an extended period of time before turning back on ."], "output": "[['screen', 'display operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["called acer support , they were completely useless ."], "output": "[['acer support', 'support general', 'negative', 'useless']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["keeps disconnecting from my wifi at work ."], "output": "[['wifi', 'ports operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it was nice when it was working ."], "output": "[['NULL', 'laptop general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve called twice to try to connect it to printer , first call they told me i had to get a cloud ready printer after getting said printer it still doesn ' t connect ."], "output": "[['NULL', 'laptop connectivity', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very disappointed in this machine ."], "output": "[['machine', 'laptop general', 'negative', 'disappointed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i typically love acers ( i have a regular laptop ) but this machine has been a nightmare ."], "output": "[['machine', 'laptop general', 'negative', 'nightmare']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["issue summary : frequent crashing"], "output": "[['NULL', 'laptop operation_performance', 'negative', 'crashing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["6 - inch hd touch , intel celeron n3150 , 4gb ddr3l , 32gb , chrome , cb5 - 132t - c1lk"], "output": "[['hd touch', 'hardware general', 'neutral', 'NULL'], ['intel celeron n3150', 'cpu general', 'neutral', 'NULL'], ['chrome', 'os general', 'neutral', 'NULL'], ['cb5 - 132t - c1lk', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["6 - inch hd touch , intel celeron n3150 , 4gb ddr3l , 32gb , chrome , cb5 - 132t - c1lk"], "output": "[['4gb', 'memory general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it frequently crashes by displaying a bizarre screen displaying a large number of short horizontal lines and making a loud alarm noise ."], "output": "[['screen', 'display operation_performance', 'negative', 'crashes'], ['screen', 'display operation_performance', 'negative', 'bizarre']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this issue happens more frequently when using netflix ( app or through chrome browser ) ."], "output": "[['happens', 'software general', 'negative', 'NULL'], ['chrome browser', 'software general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["however it can happen at random , for example when signing into gmail ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s okay for email , facebook , surfing the net , etc ."], "output": "[['email', 'software general', 'neutral', 'okay'], ['facebook', 'software general', 'neutral', 'okay']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so , this one isn ' t working out very well for my needs ."], "output": "[['NULL', 'laptop general', 'negative', \"' t working out very well\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i hope it is fixed this time ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the other is excellent !"], "output": "[['NULL', 'laptop general', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["has lots of issues , screen freezing , i was hoping to use it for banking etc ."], "output": "[['screen', 'display quality', 'negative', 'NULL'], ['NULL', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it feels like a tablet / computer for a child since it ' s so bulky and heavy ."], "output": "[['tablet', 'laptop general', 'negative', 'bulky'], ['tablet', 'laptop general', 'negative', 'heavy'], ['computer', 'laptop general', 'negative', 'bulky'], ['computer', 'laptop general', 'negative', 'heavy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the mousepad was not very responsive ."], "output": "[['mousepad', 'hardware quality', 'negative', 'not very responsive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i really think it ' s junk ."], "output": "[['NULL', 'laptop general', 'negative', 'junk']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["runs good , poor battery life ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'good'], ['battery life', 'battery quality', 'negative', 'poor']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this one is horrible , never can connect ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'horrible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["after years of using amazon for hundreds of orders , this is my very first negative review :"], "output": "[['amazon', 'company general', 'negative', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i was very excited at the prospect of buying this laptop ."], "output": "[['laptop', 'laptop general', 'positive', 'excited']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i was very impressed with its sleek design and the speed of the processor itself ."], "output": "[['design', 'laptop design_features', 'positive', 'impressed'], ['processor', 'cpu operation_performance', 'positive', 'impressed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["a few hours of use later , i noticed that my battery was very low , around 10 % ."], "output": "[['battery', 'battery operation_performance', 'negative', 'low']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i even tried reinstalling the drivers and doing a system restore , nothing would fix it ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i contacted asus and they could do nothing ."], "output": "[['asus', 'company general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i was so glad that the problem would finally be fixed ."], "output": "[['NULL', 'power_supply general', 'positive', 'glad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["to my great dismay and disappointment , the power icon read the exact same message : ` ` plugged in , not charging ` ` ."], "output": "[['power icon', 'software operation_performance', 'negative', 'dismay'], ['power icon', 'software operation_performance', 'negative', 'disappointment']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this was the second vivobook in a row !"], "output": "[['vivobook', 'laptop quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["am i just unlucky , or was this a bad batch ?"], "output": "[['NULL', 'laptop quality', 'negative', 'unlucky'], ['NULL', 'laptop quality', 'negative', 'bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve only found 2 other recent reviews of this product that had the same problem ( go ahead and search for them in the reviews ) ."], "output": "[['product', 'laptop quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["volume was not working ."], "output": "[['volume', 'multimedia_devices operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["they would help me only if i bought an ongoing support contract with them ."], "output": "[['support contract', 'support general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["horrible way to run a company so i returned the item ."], "output": "[['item', 'laptop general', 'negative', 'NULL'], ['company', 'company general', 'negative', 'horrible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i purchased this laptop on the 11th of june 2018 and today is the 25th , which means i have had it for just about 2 weeks ."], "output": "[['laptop', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i noticed yesterday that the laptop was not charging anymore for reasons i can not deduce ."], "output": "[['laptop', 'laptop quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it appears the adapter may still be good as there are a few sparks when plugging into power but the charging light on the laptop does not come on and the battery is not charging ."], "output": "[['charging light', 'hardware operation_performance', 'negative', 'NULL'], ['battery', 'battery operation_performance', 'negative', 'NULL'], ['adapter', 'power_supply operation_performance', 'positive', 'good'], ['charging light', 'hardware quality', 'negative', 'NULL'], ['battery', 'battery quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i will attempt to return it as i am out of the us right now ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is quite disappointing ."], "output": "[['NULL', 'laptop general', 'negative', 'disappointing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i am really concerned that this was not strongly made and just pretty ."], "output": "[['NULL', 'laptop general', 'negative', 'just pretty']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["now a few weeks later monitor has died again ."], "output": "[['monitor', 'display general', 'negative', 'died']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["not worth it ."], "output": "[['NULL', 'laptop general', 'negative', 'not worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i will return it ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i thought it was a bad hdmi connection ."], "output": "[['hdmi connection', 'ports connectivity', 'negative', 'bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this laptop is beautiful , and that ' s about it ."], "output": "[['laptop', 'laptop general', 'positive', 'beautiful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it was fully charged and i only turned it on a total of 3 times before the screen went blank ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL'], ['the screen', 'display operation_performance', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["at all and it took several minutes to boot up ."], "output": "[['boot up', 'os operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["turned it off and on and the screen still stays black but you can hear it running ."], "output": "[['screen', 'display operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["cons - no light to indicate caps lock ."], "output": "[['caps lock', 'keyboard design_features', 'negative', 'cons']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["delete and power button too close to each other and looks the same , i accidentally pressed the power button couple of times ."], "output": "[['delete and power button', 'keyboard design_features', 'negative', 'NULL'], ['power button', 'keyboard usability', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the built - in speaker is below average ."], "output": "[['built - in speaker', 'multimedia_devices general', 'negative', 'below average']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["pros - slim , lightweight laptop due to 8th gen core - i5 ."], "output": "[['laptop', 'laptop design_features', 'positive', 'pros'], ['laptop', 'laptop design_features', 'positive', 'slim'], ['laptop', 'laptop design_features', 'positive', 'lightweight'], ['8th gen core - i5', 'cpu general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["on day one , i had been using it for maybe 2 hours and it randomly shut off ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["then the next day , same thing , screen goes black and it dies ."], "output": "[['screen', 'display operation_performance', 'negative', 'NULL'], ['NULL', 'laptop operation_performance', 'negative', 'dies']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["im returning it ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i will constantly be thinking about how it will probably fall apart in a few moths ."], "output": "[['NULL', 'laptop quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["aside from that , laptop seems fine ."], "output": "[['laptop', 'laptop general', 'positive', 'fine']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["feel like at max brightness it just isn ' t enough ."], "output": "[['NULL', 'display operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["no backlit keyboard is kinda a bummer but i digress ."], "output": "[['backlit keyboard', 'keyboard design_features', 'negative', 'bummer']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the issue is that i got a faulty laptop and that ' s why the negative review ."], "output": "[['laptop', 'laptop quality', 'negative', 'faulty'], ['laptop', 'laptop quality', 'negative', 'negative']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i went with the asus vivobook based on the good specs , better hdd and ram , reviews , and because i could pay for it over several months ."], "output": "[['asus vivobook', 'laptop price', 'positive', 'NULL'], ['hdd', 'hardware general', 'positive', 'better'], ['ram', 'memory general', 'positive', 'better'], ['specs', 'laptop design_features', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["their only solution was for me to go through the whole rma process and mail the laptop back for repair which would take weeks ."], "output": "[['NULL', 'support general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m amazed how bad this machine is for the money , and for being described as a ` ` mid - level gamer . ` `"], "output": "[['machine', 'laptop price', 'negative', 'bad'], ['machine', 'laptop general', 'negative', 'bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it stutters on a 10 year old game ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the form factor is nice , but the power key is in the upper right , easy to hit when using backspac nor page up ."], "output": "[['form factor', 'laptop design_features', 'positive', 'nice'], ['power key', 'keyboard design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["thanks amazon for your great return policy !"], "output": "[['amazon', 'company general', 'positive', 'great'], ['return policy', 'support general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["super thin - love the color - had to completely remove the operating system though - too many viruses already on the computer when received - had to get my own operating system and re - install everything"], "output": "[['operating system', 'os general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["6 inch laptop it appears fragile the keyboard itself feels like the keys will pop out ."], "output": "[['6 inch laptop', 'laptop quality', 'negative', 'fragile'], ['keyboard', 'keyboard quality', 'negative', 'NULL'], ['keys', 'keyboard quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["sad that i can ' t return this one ."], "output": "[['NULL', 'warranty general', 'negative', 'sad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["plus the screen is bland ."], "output": "[['screen', 'display operation_performance', 'negative', 'bland']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["with this asus i ' m experiencing 2 very disappointing issues ."], "output": "[['asus', 'laptop general', 'negative', 'disappointing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["graphic issues : after opening any page or window with a black or dark color and i go back to a more bright or white page it takes at least 5 good second to gain the full luminosity"], "output": "[['graphic', 'graphics operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["suddenly the keyboard goes crazy , starting on his own typing non stop ` ` mmmmmmmmm ` ` ."], "output": "[['keyboard', 'keyboard operation_performance', 'negative', 'crazy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is very disappointing an causing me big issues while i write ."], "output": "[['NULL', 'keyboard operation_performance', 'negative', 'disappointing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it looks great as design , fast , but this 2 issues make it the worst buy of the past 10 years for me ."], "output": "[['NULL', 'laptop design_features', 'positive', 'great'], ['NULL', 'laptop operation_performance', 'positive', 'fast'], ['NULL', 'laptop general', 'negative', 'worst']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keys are easy to type on and the laptop itself is thin yet feels solid and well constructed ."], "output": "[['keys', 'keyboard usability', 'positive', 'easy'], ['laptop', 'laptop design_features', 'positive', 'solid'], ['laptop', 'laptop design_features', 'positive', 'well constructed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is a well constructed and powerful laptop that is perfect for everyday use as well as some otherwise intensive task such as large spreadsheets or presentations ."], "output": "[['laptop', 'laptop general', 'positive', 'well constructed'], ['laptop', 'laptop general', 'positive', 'perfect'], ['laptop', 'laptop general', 'positive', 'powerful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i double checked the outside labels and upon opening the box saw that the laptop had several deep scratches on the bottom of it ."], "output": "[['laptop', 'laptop quality', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i contacted amazon and have been issued a refund and ordered a replacement ."], "output": "[['amazon', 'company general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the m key popped off during initial setup ."], "output": "[['m key', 'keyboard quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["amazon is 2 - day shipping me a replacement ."], "output": "[['amazon', 'company general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i love it at first , but today my laptop wasn ' t not charging any more ."], "output": "[['laptop', 'laptop general', 'positive', 'love'], ['laptop', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i noticed today the laptop was not charging anymore ."], "output": "[['laptop', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is very very disappointing ."], "output": "[['NULL', 'laptop general', 'negative', 'disappointing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["edit : reinstalled the driver now the audio is better on earphones ."], "output": "[['audio', 'multimedia_devices general', 'positive', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["camera is sd but not a problem ."], "output": "[['camera', 'hardware general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["fingerprint scanner works well ."], "output": "[['fingerprint scanner', 'multimedia_devices general', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["back lit keyboard should be a standard by now !"], "output": "[['back lit keyboard', 'keyboard general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["battery is all day amazing"], "output": "[['battery', 'battery general', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["with ssd lightning fast start up"], "output": "[['ssd', 'memory operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["no back light keyboard"], "output": "[['keyboard', 'keyboard design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["performance is mediocre"], "output": "[['NULL', 'laptop operation_performance', 'negative', 'mediocre']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["consideration : if you are of average frame and strength then this build will be perfect and the keyboard flex and body is the perfect fit between lightweight and rigidity ."], "output": "[['build', 'laptop design_features', 'positive', 'perfect'], ['keyboard', 'keyboard design_features', 'positive', 'flex'], ['body', 'laptop design_features', 'positive', 'perfect'], ['body', 'laptop design_features', 'positive', 'lightweight'], ['body', 'laptop design_features', 'positive', 'rigidity .']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my friends , both female and male , are going to by this set up for their travel needs but for me it is lacking ."], "output": "[['set up', 'laptop usability', 'negative', 'lacking']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this adds to my need for a strong system and willing to sacrifice some weight for strength ."], "output": "[['system', 'os operation_performance', 'positive', 'strong']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["best for : if you are looking for a travel laptop and are planning on doing light work this is an amazing buy for the price ."], "output": "[['laptop', 'laptop portability', 'positive', 'amazing'], ['laptop', 'laptop price', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["not only is it light the battery charger is tiny and with the thin bezels this is a super compact design ."], "output": "[['NULL', 'laptop portability', 'positive', 'light'], ['battery charger', 'power_supply design_features', 'positive', 'tiny'], ['bezels', 'laptop design_features', 'positive', 'thin'], ['design', 'laptop design_features', 'positive', 'compact']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["even with the fan and heat if you use a cool mat on your lap you will be find especially with the screen being amazing for the price ."], "output": "[['fan', 'fans&cooling general', 'negative', 'NULL'], ['screen', 'display price', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["for the price it is an amazing starting point and hard to beat especially with such an amazing brand such as asus ."], "output": "[['NULL', 'laptop price', 'positive', 'amazing'], ['asus', 'company general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["oh and this is a beautiful machine and the lid is amazing ."], "output": "[['machine', 'laptop design_features', 'positive', 'beautiful'], ['lid', 'laptop design_features', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i like the laptop for it ' s hardware , and it ' s working properly ."], "output": "[['hardware', 'hardware general', 'positive', 'like'], ['laptop', 'laptop operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the actual laptop is very much darker and blue ."], "output": "[['actual laptop', 'laptop design_features', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m not at all happy about that ."], "output": "[['NULL', 'laptop design_features', 'negative', 'not at all happy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the new computer failed again with the same error ."], "output": "[['computer', 'laptop quality', 'negative', 'failed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i am sure amazon will exchange it again but it is not worth the time and hassle ."], "output": "[['amazon', 'company general', 'neutral', 'NULL'], ['NULL', 'laptop general', 'negative', 'not worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the speakers are also not great and the max volume on watching netflix or other videos is rather quite ."], "output": "[['speakers', 'multimedia_devices operation_performance', 'negative', 'not great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["its an ok laptop , it makes crackling annoying noises sometimes , im worried that it will become worse with time so i will be returning it , also the speakers are really bad , keyboard is good enough ."], "output": "[['laptop', 'laptop operation_performance', 'negative', 'annoying'], ['speakers', 'multimedia_devices general', 'negative', 'bad'], ['keyboard', 'keyboard general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the computer constantly pauses or stutters and then continues when it comes to loading web pages and working on documents ."], "output": "[['computer', 'laptop quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall , i ' m not very pleased with this computer ."], "output": "[['computer', 'laptop general', 'negative', 'not very pleased']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["not happy with this one ."], "output": "[['NULL', 'laptop general', 'negative', 'not happy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the computer worked well for a few weeks , then the screen backlight died ."], "output": "[['computer', 'laptop general', 'positive', 'well'], ['screen backlight', 'display operation_performance', 'negative', 'died']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the laptop does n ' t work ."], "output": "[['laptop', 'laptop quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve tried every single option and still ca n ' t use it ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["unable to contact asus support for help ."], "output": "[['asus support', 'support general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["will never buy an asus product again ."], "output": "[['asus product', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["should ' ve stick with my pixelbook which was awesome and never have me trouble ."], "output": "[['pixelbook', 'laptop general', 'positive', 'awesome']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["return window is just a month , nothing can be done and now i am on mercy of asus ."], "output": "[['asus', 'company general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["no backlighting on the keyboard ."], "output": "[['keyboard', 'keyboard design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["( i had to check that the caps lock was off after typing that last word . )"], "output": "[['caps lock', 'keyboard operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["for the backlighting , he sent me some zip files for atk and chipset which i don ' t know how to use and which i shouldn ' t have to use ."], "output": "[['NULL', 'support general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the fan blows like crazy and it makes so much noise ."], "output": "[['fan', 'fans&cooling operation_performance', 'negative', 'crazy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i don ' t even think i will be able to work on this it is so distracting ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'distracting']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this laptop was delivered with the screen broken , it was the christmas gift and when we removed the gift paper se found a laptop thant not worked , that ' s unfair and that should not be done yo any people on christmas night"], "output": "[['NULL', 'laptop general', 'negative', 'unfair']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["battery life is only 3 ."], "output": "[['battery life', 'battery operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["high speed laptop"], "output": "[['laptop', 'laptop operation_performance', 'positive', 'high']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["mousepad doesn ' t work ."], "output": "[['mousepad', 'hardware quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have used this laptop only for work and the battery lasts and hour at most on mid performance ."], "output": "[['laptop', 'laptop general', 'negative', 'NULL'], ['battery', 'battery operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["will not be buying asus again"], "output": "[['asus', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["two cons i ' m disappointed about is the battery life and the flimsy keyboard ."], "output": "[['battery life', 'battery operation_performance', 'negative', 'cons'], ['battery life', 'battery operation_performance', 'negative', 'disappointed'], ['keyboard', 'keyboard general', 'negative', 'cons'], ['keyboard', 'keyboard general', 'negative', 'flimsy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["has a genaric feel to it ."], "output": "[['NULL', 'laptop general', 'neutral', 'genaric']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["they seemed to do nothing : fixing it was apparently my job ."], "output": "[['NULL', 'support general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so now i ' m stuck with this dog but i ' m going to do all i can to get out the word that asus support is not the customer ' s friend : it ' s the customer ' s cross to bear ."], "output": "[['asus support', 'support general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve had to reset the computer multiple times ."], "output": "[['computer', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i returned it because the speaker is dead low ."], "output": "[['speaker', 'multimedia_devices operation_performance', 'negative', 'low']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["good laptop but the webcam isn ' t good ."], "output": "[['laptop', 'laptop general', 'positive', 'good'], ['webcam', 'multimedia_devices general', 'negative', \"' t good\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i would not recommend you buying this laptop , the specs are fine for the price , but the hardware is rubbish ."], "output": "[['laptop', 'laptop general', 'negative', 'not recommend'], ['specs', 'laptop price', 'positive', 'fine'], ['hardware', 'hardware general', 'negative', 'rubbish']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["power button is right next to the delete key ."], "output": "[['power button', 'keyboard design_features', 'negative', 'NULL'], ['delete key', 'keyboard design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["all around , a very lacking laptop ."], "output": "[['laptop', 'laptop general', 'negative', 'lacking']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["* * returning the device - - that unhappy with the item ."], "output": "[['device', 'laptop general', 'negative', 'unhappy'], ['item', 'laptop general', 'negative', 'unhappy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["dead pixel on display on arrival"], "output": "[['display', 'display quality', 'negative', 'dead']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the laptop charger has sparked repeatedly ."], "output": "[['laptop charger', 'power_supply operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i will be returning this item ."], "output": "[['item', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["do not buy it will not search what you type in i want my money back"], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this computer arrived fine but will not charge ."], "output": "[['computer', 'laptop general', 'positive', 'fine'], ['computer', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["how can a brand new computer not charge properly ?"], "output": "[['computer', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["screen backlight stopped working after just one month of light use ."], "output": "[['screen backlight', 'display operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i received this laptop promptly ."], "output": "[['laptop', 'shipping general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great battery life , a matte screen ( non - glossy ) full hd ."], "output": "[['battery life', 'battery general', 'positive', 'great'], ['matte screen', 'display general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it will however win with substance ."], "output": "[['NULL', 'laptop general', 'positive', 'win']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["its about what is inside of this amazing product ."], "output": "[['product', 'laptop general', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the screen quality is excellent , and i am fussy due to my interest in digital imagery ."], "output": "[['screen quality', 'display quality', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i can tell you for web surfing , the battery life is on par with what is advertised ."], "output": "[['battery life', 'battery general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i could n ' t have put my feelings about my new acer aspire e 15 e5 - 576g - 5762 better ."], "output": "[['acer aspire e 15 e5 - 576g - 5762', 'laptop general', 'positive', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the 8th generation processor and ssd make for a very snappy computer , and the easy upgradablility is helpful now and will be useful in the future ."], "output": "[['computer', 'laptop operation_performance', 'positive', 'snappy'], ['8th generation processor', 'cpu operation_performance', 'positive', 'snappy'], ['ssd', 'hardware general', 'positive', 'snappy'], ['NULL', 'laptop usability', 'positive', 'easy'], ['NULL', 'laptop usability', 'positive', 'helpful'], ['NULL', 'laptop usability', 'positive', 'useful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i / o : tons of ports , a dvd burner , solid keyboard with good feel to the key strokes , and a very precise and responsive trackpad ."], "output": "[['ports', 'ports general', 'positive', 'NULL'], ['dvd burner', 'optical_drives general', 'neutral', 'NULL'], ['keyboard', 'keyboard quality', 'positive', 'solid'], ['keyboard', 'keyboard quality', 'positive', 'good'], ['key strokes', 'keyboard quality', 'positive', 'solid'], ['key strokes', 'keyboard quality', 'positive', 'good'], ['trackpad', 'hardware operation_performance', 'positive', 'precise'], ['trackpad', 'hardware operation_performance', 'positive', 'responsive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["plus the screen is matte , so bright lights are n ' t glaring ."], "output": "[['screen', 'display design_features', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall impression : this is a killer laptop for a killer deal !"], "output": "[['laptop', 'laptop general', 'positive', 'killer'], ['laptop', 'laptop price', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve also discovered that the battery is better than i first thought , and will last 8 hours for light - duty activities such as web - surfing and word processing ; longer with power management on ."], "output": "[['battery', 'battery quality', 'positive', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my overall impression has not changed in the past 8 months , and i am still very impressed by it ."], "output": "[['NULL', 'laptop general', 'positive', 'impressed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["thanks to its ssd , it boots windows 10 pretty fast , bloatware is kept to a minimum ( please uninstall norton before doing anything else ."], "output": "[['windows 10', 'os operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": [": p ) , and the machine is definitely zippy ."], "output": "[['machine', 'laptop operation_performance', 'positive', 'zippy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["oh , and the nvidia card is plenty capable for gaming at medium settings at least ( grid autosport fps avg is in the 80s / 90s or so )"], "output": "[['nvidia card', 'graphics operation_performance', 'positive', 'capable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["+ great and fast cpu and overall fast pc performance"], "output": "[['cpu', 'cpu operation_performance', 'positive', 'great'], ['cpu', 'cpu operation_performance', 'positive', 'fast'], ['pc performance', 'laptop operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["+ decent full hd screen ( might be the ' crappiest ' thing on it and it is still good for the price )"], "output": "[['hd screen', 'display design_features', 'positive', 'decent'], ['NULL', 'laptop price', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- trackpad is too finicky and not my favorite"], "output": "[['trackpad', 'hardware usability', 'negative', 'finicky']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["need to play with it a bit more ."], "output": "[['NULL', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["as of now , for $ 600 or less , this is a nice buy ."], "output": "[['NULL', 'laptop price', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this laptop is the best for the price in my opinion ."], "output": "[['laptop', 'laptop general', 'positive', 'best'], ['laptop', 'laptop price', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["there are 2 pretty significant flaws in the design however , one i think might only be on my laptop ."], "output": "[['laptop', 'laptop design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- ips full hd screen ."], "output": "[['hd screen', 'display general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- pretty loud speakers ."], "output": "[['speakers', 'multimedia_devices quality', 'positive', 'loud']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["best pc bang for this level of buck ."], "output": "[['pc bang', 'laptop general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i will update this post if anything changes from what i posted , after i get the correct memory installed ."], "output": "[['memory', 'memory general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have been beyond pleased with this laptop purchase over the last 6 months of use ."], "output": "[['laptop', 'laptop general', 'positive', 'pleased']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i highly recommend this laptop for anyone looking for a great performing machine with an outstanding price ( just to be clear , it won ' t be running the newest high - end games on ultra - high graphics settings , but it still performs phenomenally for its price range and usage category ) ."], "output": "[['machine', 'laptop operation_performance', 'positive', 'great'], ['laptop', 'laptop operation_performance', 'positive', 'phenomenally'], ['machine', 'laptop price', 'positive', 'outstanding']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this laptop has been my traveling partner as i ' ve been traveling for 4 months , and i ' ve been extremely happy with the battery life , performance , and form of this machine ."], "output": "[['performance', 'laptop design_features', 'positive', 'happy'], ['battery life', 'battery general', 'positive', 'happy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is also amazingly quiet : the ssd doesn ' t make any noise , and the fan only spins up if i am doing something intensive like playing games or running a heafty program - just browsing or watching videos / basic office work will not make this computer more than whisper ."], "output": "[['ssd', 'hardware operation_performance', 'positive', 'amazingly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so again , the battery is surprisingly great ."], "output": "[['battery', 'battery general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard was a bonus for me : i really like having the number pad for when working with spreadsheets and such , and this size laptop doesn ' t always have one ."], "output": "[['number pad', 'keyboard usability', 'positive', 'like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["additionally , this has a nice backlight to the keyboard , which will turn off when nothing has been pressed for about 20 seconds ( great for when just watching or reading something ) or can be manually turned off entirely ."], "output": "[['keyboard', 'keyboard usability', 'positive', 'nice'], ['keyboard', 'keyboard usability', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["in addition , you are gifted with an sd card reader and an optical drive which can read and write cds and dvds ( which i can ' t say i ' ve used other than testing that it worked , but i do remember how hazardous it is to suddenly need something like that and not have it available ) ."], "output": "[['optical drive', 'optical_drives operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- though the case is plastic , the keyboard area itself has a cold metallic feel ."], "output": "[['case', 'laptop design_features', 'neutral', 'NULL'], ['keyboard area', 'keyboard design_features', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- the battery life is at least 8 hours ."], "output": "[['battery life', 'battery operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- the keys , often described as mushy , still have a decent click and distance to them ."], "output": "[['keys', 'keyboard design_features', 'positive', 'decent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- the backlit keyboard looks nice ."], "output": "[['backlit keyboard', 'keyboard design_features', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- i swear my screen periodically changes brightness but i can ' t tell if this is my imagination or not ."], "output": "[['screen', 'display operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- the webcam sucks but i don ' t care about that ."], "output": "[['webcam', 'multimedia_devices operation_performance', 'negative', 'sucks']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- easily upgradeable hdd ( it comes with a 512 ssd , which is fine for now , but is easily changed out )"], "output": "[['hdd', 'hardware usability', 'positive', 'upgradeable'], ['512 ssd', 'hardware usability', 'positive', 'fine']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- windows 10 ( do i really need to list the drawbacks of 10 ?"], "output": "[['windows 10', 'os operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the e15 has a bright , 1080p screen - text is extremely sharp ."], "output": "[['screen', 'display design_features', 'positive', 'bright'], ['screen', 'display design_features', 'positive', 'sharp']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i also really like the finish on the case ."], "output": "[['case', 'hardware design_features', 'positive', 'like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i wish the power cord were longer , but that ' s minor ."], "output": "[['power cord', 'power_supply design_features', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["all in all , i ' m really glad i got this machine ."], "output": "[['machine', 'laptop design_features', 'positive', 'glad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it has served me very well ever since ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so kudos to acer for the keyboard !"], "output": "[['keyboard', 'keyboard general', 'positive', 'kudos'], ['acer', 'laptop general', 'positive', 'kudos']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this laptop has an amazing price for the hardware it offers ."], "output": "[['laptop', 'laptop price', 'positive', 'amazing'], ['hardware', 'hardware price', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["multiple ports for anything you need ."], "output": "[['ports', 'ports general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["decent sized track pad ."], "output": "[['track pad', 'hardware design_features', 'positive', 'decent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["screen is ips ."], "output": "[['screen', 'display general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i figured out the day i got this laptop why the company was able to keep the price of this laptop even with the great hardware inside ."], "output": "[['NULL', 'laptop price', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it cost 8 dollars and shipping is not cheap ."], "output": "[['shipping', 'shipping price', 'negative', 'not cheap']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["taking off the entire back of the laptop is very difficult ."], "output": "[['laptop', 'hardware design_features', 'negative', 'difficult']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall the laptop is great for its price ."], "output": "[['laptop', 'laptop price', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i should also mention that i got this laptop when it was 100 dollars off ."], "output": "[['laptop', 'laptop price', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great laptop for expansion and upgrade ."], "output": "[['laptop', 'laptop design_features', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["all in all it is a great machine ."], "output": "[['machine', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["best laptop i ' ve ever owned ."], "output": "[['laptop', 'laptop general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this computer lives up to its expectations ."], "output": "[['computer', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the sound quality is ok , and even at full volume isn ' t that loud , but that ' s not a big deal for me ."], "output": "[['sound quality', 'multimedia_devices quality', 'neutral', 'ok'], ['sound quality', 'multimedia_devices quality', 'neutral', \"' t that loud\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["from the moment i opened it , i was thoroughly pleased ."], "output": "[['NULL', 'laptop general', 'positive', 'pleased']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s lightning fast and handles games like skyrim and the witcher 3 surprisingly smoothly for the price i paid ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'fast'], ['NULL', 'laptop operation_performance', 'positive', 'smoothly'], ['NULL', 'laptop price', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["superb value for money and powerful performance from this quad core computer ."], "output": "[['quad core computer', 'laptop operation_performance', 'positive', 'powerful'], ['quad core computer', 'laptop price', 'positive', 'superb']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it has and does everything it should ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["screen is bright , doesn ' t feel heavy ."], "output": "[['screen', 'display design_features', 'positive', 'bright'], ['screen', 'display design_features', 'positive', \"' t feel heavy\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m not a power user , so it is perfect for my needs ."], "output": "[['NULL', 'battery operation_performance', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["keys type nicely ."], "output": "[['keys', 'keyboard operation_performance', 'positive', 'nicely']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["only wish the power button was somewhere else , its too easy to hit accidentally ."], "output": "[['power button', 'battery design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this laptop has handled everything i have thrown at it ."], "output": "[['laptop', 'laptop operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the screen looks good despite some other reviews ."], "output": "[['screen', 'display general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my cpu also runs over 3ghz most of the time with no heating issues either ."], "output": "[['cpu', 'cpu operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["after running good for the initial 25 first days it won ' t power on ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i still find the one piece touch pads unreliable to use even after all the tweaking ."], "output": "[['touch pads', 'hardware operation_performance', 'negative', 'unreliable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my first time with a solid state drive , very nice quick and quiet ."], "output": "[['solid state drive', 'hard_disc operation_performance', 'positive', 'nice'], ['solid state drive', 'hard_disc operation_performance', 'positive', 'quiet']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i will painfully learn the new pads ."], "output": "[['pads', 'hardware usability', 'negative', 'painfully']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is a light - use business laptop that we ' ve had for a month ."], "output": "[['laptop', 'laptop portability', 'positive', 'light - use']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the screen is more than sufficient for non - gaming , business use , and it seems as fast as expected ."], "output": "[['screen', 'display operation_performance', 'positive', 'sufficient'], ['screen', 'display operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve owned several acer monitors that i ' ve always been pleased with , but this is the first computer ."], "output": "[['acer monitors', 'display general', 'positive', 'pleased'], ['computer', 'laptop general', 'positive', 'pleased']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["anyways , i am a bit sad that the ssd is a bit hidden and with very low memory , especially since i launched it and had to deal with half of it being full of bloatware ( btw , anyone who is looking for playing games on it , remember that the ssd will be faster and better at handling them , not the hard drive , all your programs and games should be installed to the ssd , all your files to the hard drive for those who don ' t know ) of course , with a little luck , that is fixable ."], "output": "[['ssd', 'hard_disc design_features', 'positive', 'luck'], ['ssd', 'hard_disc design_features', 'positive', 'fixable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the screen looks great ( though maybe not if all you do is look at 4k resolution ) and the keyboard response feels pretty good ."], "output": "[['screen', 'display design_features', 'positive', 'great'], ['keyboard response', 'keyboard operation_performance', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the battery life is not quite as long as advertised , but i can get through daily life just fine without lugging my charger everywhere ."], "output": "[['battery life', 'battery operation_performance', 'neutral', 'fine']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["to get the features like this good luck ."], "output": "[['NULL', 'laptop general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["its so fast just click and 1 to 2 seconds it shuffles through youtube , videos , web pages , any thing ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["people said it wasn ' t bright enough but i run at 50 to 75 percent and its white bright ."], "output": "[['NULL', 'display operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["for the price , it ' s a solid laptop ."], "output": "[['laptop', 'laptop price', 'positive', 'solid']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard is easy to type on ( and the backlight is an added plus ) ."], "output": "[['keyboard', 'keyboard operation_performance', 'positive', 'easy'], ['backlight', 'keyboard operation_performance', 'positive', 'plus']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["you ' re not gon na find a deal like this too often ."], "output": "[['NULL', 'laptop price', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s not perfect , but for casual users it ' s a steal ."], "output": "[['NULL', 'laptop general', 'positive', 'not perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i love this laptop !"], "output": "[['laptop', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have the intel core i7 , soooo fast !"], "output": "[['intel core i7', 'cpu operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["comfortable keyboard !"], "output": "[['keyboard', 'keyboard operation_performance', 'positive', 'comfortable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["love the cortana !"], "output": "[['cortana', 'software general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["first time user for windows 10 and it ' s pretty good ."], "output": "[['windows 10', 'os general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["was very easy to add memory ."], "output": "[['NULL', 'laptop usability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the acer is similar but bigger and heavier ."], "output": "[['acer', 'laptop design_features', 'negative', 'bigger'], ['acer', 'laptop design_features', 'negative', 'heavier']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["hope this review can save others from the initial hassle i endured because the chromebook 3 looks terrific in any other way ."], "output": "[['chromebook 3', 'laptop general', 'positive', 'terrific']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i bought the 4gb model which will hopefully last me a few years but it ' s nice and snappy now ."], "output": "[['4gb model', 'laptop general', 'positive', 'hopefully'], ['4gb model', 'laptop general', 'positive', 'nice'], ['4gb model', 'laptop general', 'positive', 'snappy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the 16gb of ssd storage is perfect as i use it for school and the biggest file i might be storing would be a picture ."], "output": "[['ssd storage', 'hard_disc general', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it integrates perfectly with my google account !"], "output": "[['NULL', 'laptop usability', 'positive', 'perfectly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s lightweight , has a long battery life and although it ' s smaller than a standard laptop , the keyboard is easy to use ."], "output": "[['battery life', 'battery quality', 'positive', 'long'], ['NULL', 'laptop design_features', 'neutral', 'NULL'], ['keyboard', 'keyboard general', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the only thing i ' m bummed about is the lack of google play ."], "output": "[['google play', 'software general', 'negative', 'lack']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve gotten more use out of this thing than i first envisioned ."], "output": "[['NULL', 'laptop usability', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i added an sd card which has expanded on the 16gb of storage ."], "output": "[['sd card', 'memory general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have been using a chromebook now for three years and am totally satisfied ."], "output": "[['chromebook', 'laptop general', 'positive', 'satisfied']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["for the price you can ' t beat a chromebook ."], "output": "[['chromebook', 'laptop price', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["chromebooks are light weight and start up immediately and are very easy to use ."], "output": "[['chromebooks', 'laptop design_features', 'positive', 'light'], ['chromebooks', 'laptop operation_performance', 'positive', 'NULL'], ['chromebooks', 'laptop usability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my old chromebook is an acer and i ' ve had absolutely no problems with it ."], "output": "[['acer', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this samsung works as expected and is a good , basic chromebook ."], "output": "[['samsung', 'laptop general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i love this chromebook !"], "output": "[['chromebook', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard is easy to use , and there is no external noise to contend with ."], "output": "[['keyboard', 'keyboard operation_performance', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is fantastic for the things that i need a computer for ."], "output": "[['NULL', 'laptop general', 'positive', 'fantastic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i highly recommend the samsung chromebook for browsing the internet , and for note taking ."], "output": "[['samsung chromebook', 'laptop usability', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s lightweight and fits easily in a tote or backpack ."], "output": "[['NULL', 'laptop design_features', 'positive', 'lightweight']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it holds up well ."], "output": "[['NULL', 'laptop portability', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i use it sort of all day and night and i haven ' t found anything it won ' t do ."], "output": "[['NULL', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["occasionally it will get sort of slow and then i ' ll go to settings and clear the image cache and that takes care of it ."], "output": "[['NULL', 'laptop operation_performance', 'neutral', 'slow']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard is nice ."], "output": "[['keyboard', 'keyboard general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i type 100 wpm and i like the keyboard and touch pad a lot ."], "output": "[['keyboard', 'keyboard general', 'positive', 'like'], ['touch pad', 'keyboard general', 'positive', 'like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keys are responsive and quiet ."], "output": "[['keys', 'keyboard operation_performance', 'positive', 'responsive'], ['keys', 'keyboard operation_performance', 'positive', 'quiet']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the power cord is super compact and is just the plug and cord with no big clunky thing on it ."], "output": "[['power cord', 'power_supply design_features', 'positive', 'compact']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["google updates are super fast ."], "output": "[['google updates', 'software operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s absolutely silent ."], "output": "[['NULL', 'laptop quality', 'positive', 'silent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["no fans grinding away ."], "output": "[['fans', 'fans&cooling quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i sit with it in my lap all day long and it never gets hot ."], "output": "[['NULL', 'laptop quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i don ' t play video games but i imagine that it would play cloud - based games fine ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'fine']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve inadvertently had more than a dozen youtube videos playing at the same time and it was sort of noisy but it wasn ' t lagging ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'noisy'], ['NULL', 'laptop operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the only program i couldn ' t find a cloud solution for was scrivener ."], "output": "[['scrivener', 'software usability', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it holds up to constant use and it ' s really sturdy despite being really slim and lightweight ."], "output": "[['NULL', 'laptop design_features', 'positive', 'slim'], ['NULL', 'laptop design_features', 'positive', 'lightweight'], ['NULL', 'laptop quality', 'positive', 'sturdy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have used this computer daily now for about 6 months , spending hours per day on it for an emt / paramedic class ."], "output": "[['computer', 'laptop usability', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s extremely fast and has very little lag when opening pages or surfing the web ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["( * cough ' quizlet ' cough * ) i use this hooked up to my mobile hotspot from my cell phone mainly , and it allows me access anywhere i have cell service ."], "output": "[['it', 'laptop connectivity', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": [", as it doesn ' t have large built in memory ."], "output": "[['memory', 'memory design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["first time chrome os user , very streamlined and easy to use ."], "output": "[['chrome os', 'os usability', 'positive', 'streamlined'], ['chrome os', 'os usability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["amazing battery life , i could go on ."], "output": "[['battery life', 'battery quality', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i can carry both of them in a reasonably sized purse and not hurt my shoulder ."], "output": "[['NULL', 'laptop portability', 'positive', 'reasonably']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["hit the power button and plug it in , it will be ready before you are ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the plastic seems sturdy , the keys don ' t stick * , the mousepad feels pleasant ."], "output": "[['plastic', 'laptop quality', 'positive', 'sturdy'], ['keys', 'keyboard quality', 'positive', \"' t stick\"], ['mousepad', 'keyboard design_features', 'positive', 'pleasant']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it doesn ' t get super loud , but for normal usage situations it ' s fine ."], "output": "[['NULL', 'laptop operation_performance', 'neutral', 'fine']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- it does slow down noticeably if you ' re doing too much at once ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if i have a video call going on facebook messenger , chrome will take three or four seconds to respond ."], "output": "[['NULL', 'software operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if you ' re going to be doing a lot of heavy lifting , this might not be the chromebook for you ."], "output": "[['chromebook', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall , the problems are fairly minor and for the price i ' m happy with what i got ."], "output": "[['NULL', 'laptop price', 'positive', 'happy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m travelling overseas with it , and it goes everywhere i do and does everything i do - except i can no longer multitask and annoy my mother in video calls !"], "output": "[['NULL', 'laptop usability', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the 4gb / 32gb version is fast and smooth and has enough storage space for your work documents and e - books for ready access when no internet is available ."], "output": "[['4gb / 32gb version', 'laptop operation_performance', 'positive', 'fast'], ['4gb / 32gb version', 'laptop operation_performance', 'positive', 'smooth'], ['storage space', 'memory operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["5 pound laptop with its nine hour battery life ."], "output": "[['laptop', 'laptop design_features', 'positive', 'NULL'], ['battery life', 'battery operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i * love * it !"], "output": "[['NULL', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have been using samsung chromebooks for 5 years , my 2012 chromebook was finally hard to charge , but it might have had something to do with having been dropped several times , and still running great , but hard to charge ."], "output": "[['2012 chromebook', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["* love * the feel and look of it , no complaints at all , samsung chromebooks are amazing !"], "output": "[['samsung chromebooks', 'laptop design_features', 'positive', 'love'], ['samsung chromebooks', 'laptop design_features', 'positive', 'no complaints'], ['samsung chromebooks', 'laptop general', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["makes a huge difference in the customer service you ' ll get , and amazon ' s is outstanding !"], "output": "[[\"amazon ' s\", 'support general', 'positive', 'outstanding']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is completely different , feels solid , looks great , operates like a great samsung chromebook should , and for $ 169 , you just can ' t go wrong ."], "output": "[['samsung chromebook', 'laptop general', 'positive', 'great'], ['samsung chromebook', 'laptop design_features', 'positive', 'solid'], ['samsung chromebook', 'laptop design_features', 'positive', 'great'], ['samsung chromebook', 'laptop operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["chromebooks do not have a cd / dvd drive or some other features of higher end laptops , but i love them ! )"], "output": "[['chromebooks', 'laptop design_features', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it does what i need it to do and with a sd card the memory is greatly improved ."], "output": "[['memory', 'memory operation_performance', 'positive', 'greatly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i will say this , if you ' re not doing video production and just need basic computering , these chromebooks are everything ."], "output": "[['chromebooks', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["they ' re affordable ."], "output": "[['NULL', 'laptop price', 'positive', 'affordable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["they are lightweight and easy to carry ."], "output": "[['NULL', 'laptop design_features', 'positive', 'lightweight'], ['NULL', 'laptop design_features', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["once you get accustomed to the interface , you realize they do everything you need ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it was easy to set up ."], "output": "[['NULL', 'laptop usability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s lightweight ."], "output": "[['NULL', 'laptop design_features', 'positive', 'lightweight']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it looks nice ."], "output": "[['NULL', 'laptop design_features', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["and it was a very good price ."], "output": "[['NULL', 'laptop price', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great price - i always buy the warranty ."], "output": "[['NULL', 'laptop price', 'positive', 'great'], ['warranty', 'warranty general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["excellent for those uses ."], "output": "[['NULL', 'laptop usability', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have had my chromebook for 4 years still works great for internet , netflix , adult education classes ."], "output": "[['chromebook', 'laptop operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["fast shipping too !"], "output": "[['shipping', 'shipping quality', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["google is amazing ."], "output": "[['google', 'company general', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s all about google but my kids really like it ."], "output": "[['google', 'company general', 'positive', 'like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["she had no trouble learning how to use it ."], "output": "[['NULL', 'laptop usability', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this laptop is perfect for all my school work and is budget friendly as well !"], "output": "[['laptop', 'laptop usability', 'positive', 'perfect'], ['laptop', 'laptop price', 'positive', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i can bring it anywhere because of how small it is : $"], "output": "[['NULL', 'laptop portability', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is perfect for his college courses , work and fun ."], "output": "[['NULL', 'laptop usability', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m using this device to run a small etsy business and its perfect for my needs ."], "output": "[['device', 'laptop operation_performance', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s fast and very easy to use if you are familiar with google drive ."], "output": "[['NULL', 'laptop usability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["what ' s more , the price was perfect as a small investment into my small business ."], "output": "[['NULL', 'laptop price', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is a good product at an affordable price ."], "output": "[['product', 'laptop general', 'positive', 'good'], ['NULL', 'laptop price', 'positive', 'affordable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this chromebook was one of the best gift to my grandauther ."], "output": "[['chromebook', 'laptop general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is a good product to buy ."], "output": "[['product', 'laptop general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if you wan na spend a couple hundred for a laptop this is deffanently worth it ."], "output": "[['laptop', 'laptop general', 'positive', 'worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["setting it up is awkward because it ' s chrome ."], "output": "[['chrome', 'software usability', 'negative', 'awkward']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the home screen is blank with a customizable photo that you can add but that ' s it ."], "output": "[['home screen', 'display operation_performance', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["love it !"], "output": "[['NULL', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it arrived as promised and was exactly as described ."], "output": "[['NULL', 'shipping quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["they loved them and said they worked perfectly ."], "output": "[['NULL', 'laptop general', 'positive', 'loved'], ['NULL', 'laptop operation_performance', 'positive', 'perfectly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["one of my favorite things i own"], "output": "[['NULL', 'laptop general', 'positive', 'favorite']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if you do n ' t need a full blown laptop this is a good choice ."], "output": "[['laptop', 'laptop general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the speakers on at the front on bottom so sound quality isn ' t the best ."], "output": "[['speakers', 'multimedia_devices quality', 'neutral', \"' t the best\"], ['sound quality', 'multimedia_devices quality', 'neutral', \"' t the best\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["battery life is great for reviewing adobe forms and web surfing , pretty good for youtube videos ."], "output": "[['battery life', 'battery operation_performance', 'positive', 'great'], ['battery life', 'battery operation_performance', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my only issue is the wifi likes to randomly turn off then back on ."], "output": "[['wifi', 'ports connectivity', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i was very surprised at how fast it came ."], "output": "[['NULL', 'shipping operation_performance', 'positive', 'surprised'], ['NULL', 'shipping operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the only problem is that there is no caps lock button on the keyboard ."], "output": "[['caps lock button', 'keyboard design_features', 'negative', 'NULL'], ['keyboard', 'keyboard design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["other than that it has been great so far !"], "output": "[['NULL', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i am sooooo glad i bought this one !"], "output": "[['NULL', 'laptop general', 'positive', 'glad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["simple and nothing complicated about it ."], "output": "[['NULL', 'laptop usability', 'positive', 'simple']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["he has thoroughly enjoyed it"], "output": "[['NULL', 'laptop general', 'positive', 'enjoyed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i am very happy with this purchase ."], "output": "[['NULL', 'laptop general', 'positive', 'happy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the battery seriously lasts as long as i need it , and i ' m one to forget to charge it ."], "output": "[['battery', 'battery operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["although lightweight and less expensive , the lack of sensitivity of the touchpad makes using this with ease kind of frustrating ."], "output": "[['touchpad', 'laptop usability', 'positive', 'lightweight'], ['touchpad', 'laptop price', 'positive', 'less expensive'], ['touchpad', 'keyboard operation_performance', 'negative', 'frustrating']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["worked as it should ."], "output": "[['NULL', 'laptop operation_performance', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["not as much i can do on it , but it is adequate ."], "output": "[['NULL', 'laptop general', 'positive', 'adequate']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["screen is a bit small for me ."], "output": "[['screen', 'display design_features', 'negative', 'small']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i had hoped that doubling the ram would increase performance a bit , but it seems to run exactly the same ."], "output": "[['ram', 'memory operation_performance', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["which , to be sure , is great , i had just hoped for something slightly more agile ."], "output": "[['NULL', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i would buy again , especially at this price ."], "output": "[['NULL', 'laptop price', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["google docs are getting so good and user friendly who needs office anymore , content accessible anywhere , just takes a little time to get used to but once you realize all the benefits chromebook is a great choice ."], "output": "[['google docs', 'software operation_performance', 'positive', 'good'], ['google docs', 'software operation_performance', 'positive', 'friendly'], ['chromebook', 'laptop quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great cheap tool for web development ( using linux ) and everyday internet usage ."], "output": "[['tool', 'laptop price', 'positive', 'cheap']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["every additional feature would be unnecessary for my personal usage ."], "output": "[['NULL', 'laptop design_features', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["love these chromebooks !"], "output": "[['chromebooks', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i find this chrome book is so much easy to use , it start up fast it is light weight ready to carry when traveling ."], "output": "[['chrome book', 'laptop usability', 'positive', 'easy'], ['chrome book', 'laptop operation_performance', 'positive', 'fast'], ['chrome book', 'laptop portability', 'positive', 'light']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i can use this for school ."], "output": "[['NULL', 'laptop usability', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is exactly what i need and nothing more ."], "output": "[['NULL', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i like this chromebook a lot ."], "output": "[['chromebook', 'laptop general', 'positive', 'like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is very helpful and it is very fast ."], "output": "[['NULL', 'laptop general', 'positive', 'helpful'], ['NULL', 'laptop operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the battery will last a full day or two so it ' s very good for a middle school student ."], "output": "[['battery', 'battery operation_performance', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the only thing is that it does ' t have too much storage room ."], "output": "[['NULL', 'memory general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i do n ' t think 16 gb is enough ."], "output": "[['NULL', 'memory design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["greatest thing i ' ve bought myself in a long time ."], "output": "[['NULL', 'laptop general', 'positive', 'greatest']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["such a perfect little computer ."], "output": "[['computer', 'laptop general', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["not happy that the l and the quotation mark key no longer work unless i bang on them ."], "output": "[['l and the quotation mark key', 'keyboard quality', 'negative', 'not happy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["excellent chromebooks !"], "output": "[['chromebooks', 'laptop general', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we purchased 6 of these chromebooks for our organization and they work very well ."], "output": "[['chromebooks', 'laptop operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["battery life is excellent and our students love them !"], "output": "[['battery life', 'battery general', 'positive', 'excellent'], ['battery life', 'battery general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great machine for all my needs ."], "output": "[['machine', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["easiest computer to start up ever ."], "output": "[['computer', 'laptop usability', 'positive', 'easiest'], ['start up', 'laptop usability', 'positive', 'easiest']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["original order arrived with damaged screen ; however , i contacted amazon and 2 days later i had the replacement ."], "output": "[['screen', 'display quality', 'negative', 'damaged'], ['amazon', 'support quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it works great for what i need ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["screen is not amazing but for the price , it gets the job done fine ."], "output": "[['screen', 'display general', 'neutral', 'not amazing'], ['NULL', 'laptop price', 'positive', 'fine']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the battery life is outstanding and the quality is great ."], "output": "[['battery life', 'battery operation_performance', 'positive', 'outstanding'], ['NULL', 'laptop quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["although the sound is not that good , this device replaced my ipad and i have never missed it !"], "output": "[['device', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["he likes it"], "output": "[['NULL', 'laptop general', 'positive', 'likes']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this computer has a great battery life and it is just like every other computer just smaller size and it is a great brand name ."], "output": "[['computer', 'laptop design_features', 'neutral', 'NULL'], ['computer', 'company general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["its is small and lite and the battery dose last long ."], "output": "[['NULL', 'laptop design_features', 'positive', 'small'], ['NULL', 'laptop design_features', 'positive', 'lite'], ['battery', 'battery operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["for the price i think it ' s just fine ."], "output": "[['NULL', 'laptop price', 'positive', 'fine']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is perfect for my needs ."], "output": "[['NULL', 'laptop general', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i am able to write , look up facts on the internet , and it has a pretty good battery life ."], "output": "[['battery life', 'battery general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great for what i use it for ."], "output": "[['NULL', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["only used it a short while , but it seems like a sturdy nice little laptop ."], "output": "[['laptop', 'laptop quality', 'positive', 'sturdy'], ['laptop', 'laptop general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i bought this for a light user and it seems like the chrome os is going to work well for her - simple and quick ."], "output": "[['chrome os', 'os operation_performance', 'positive', 'well'], ['chrome os', 'os operation_performance', 'positive', 'simple'], ['chrome os', 'os operation_performance', 'positive', 'quick']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m satisfied with the product ."], "output": "[['product', 'laptop general', 'positive', 'satisfied']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i love it ."], "output": "[['NULL', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["love it !"], "output": "[['NULL', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["screen resolution could be slightly better ."], "output": "[['screen resolution', 'display operation_performance', 'positive', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very satisfied with simplicity of use , the streamlining of the google products , and the considerable battery life ."], "output": "[['NULL', 'laptop usability', 'positive', 'satisfied'], ['google products', 'laptop design_features', 'positive', 'satisfied'], ['battery life', 'battery operation_performance', 'positive', 'considerable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["battery life is superb"], "output": "[['battery life', 'battery operation_performance', 'positive', 'superb']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["picked this up as something light and easy to carry around for working on personal coding projects while riding the bus ."], "output": "[['NULL', 'laptop portability', 'positive', 'light'], ['NULL', 'laptop portability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["he ' s very happy with it ."], "output": "[['NULL', 'laptop general', 'positive', 'happy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great little computer ."], "output": "[['computer', 'laptop general', 'positive', 'great'], ['computer', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["good screen definition ."], "output": "[['screen definition', 'display general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i was worried about the battery life because of the reviews ."], "output": "[['battery life', 'battery general', 'negative', 'worried']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["however , i haven ' t had any disappoint with the battery ."], "output": "[['battery', 'battery operation_performance', 'positive', \"' t had any disappoint\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["works great ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["daughter school uses chrome for everything ."], "output": "[['chrome', 'software usability', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["granddaughter so loves it said it ' s the best christmas present ever"], "output": "[['NULL', 'laptop general', 'positive', 'loves'], ['NULL', 'laptop general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["perfect ` ` computer ` ` for my young child ."], "output": "[['computer', 'laptop general', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so far no problems except i tried to print something from my email and am having trouble linking to my printer ."], "output": "[['printer', 'laptop connectivity', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we are loving this chromebook !"], "output": "[['chromebook', 'laptop general', 'positive', 'loving']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the os doesn ' t leave menu bar at the top for copying in programs for studies ."], "output": "[['os', 'os usability', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is a great notebook ."], "output": "[['notebook', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["good quality ."], "output": "[['NULL', 'laptop quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["priced well ."], "output": "[['NULL', 'laptop price', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but you ca n ' t beat the price ."], "output": "[['NULL', 'laptop price', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i love this little chrome book ."], "output": "[['chrome book', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s so easy to travel with ."], "output": "[['NULL', 'laptop portability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["ca n ' t use itunes and stuff like that but it ' s ok still great ."], "output": "[['NULL', 'laptop general', 'positive', 'ok'], ['NULL', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my daughter ordered the chromebook with her graduation money and she loves it ."], "output": "[['chromebook', 'laptop general', 'positive', 'loves']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this little computer is very fast and does a great job ."], "output": "[['computer', 'laptop operation_performance', 'positive', 'fast'], ['computer', 'laptop operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very pleased with this computer ."], "output": "[['computer', 'laptop general', 'positive', 'pleased']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["package arrived faster than the estimated arrival ."], "output": "[['package', 'shipping operation_performance', 'positive', 'faster']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the computer runs great ."], "output": "[['computer', 'laptop operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["1 month update : chromebook is still working great ."], "output": "[['chromebook', 'laptop operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["blackboard works fine for me ."], "output": "[['blackboard', 'software operation_performance', 'positive', 'fine']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["speaker is only good for watching a movie in a quiet room ."], "output": "[['speaker', 'multimedia_devices operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i really like my chromebook ."], "output": "[['chromebook', 'laptop general', 'positive', 'like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["everything works great ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great chromebook ."], "output": "[['chromebook', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["has all the top features and runs fast ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["they do a ton of online homework and this is perfect for them ."], "output": "[['NULL', 'laptop general', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this does exactly what i need , writing on google docs ."], "output": "[['NULL', 'laptop usability', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["only thing is i am not sure if there is a delete key , something i use a lot"], "output": "[['delete key', 'keyboard design_features', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is a great laptop ."], "output": "[['laptop', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so easy to use and is not that slow like some say works just fine for casual use ."], "output": "[['NULL', 'laptop usability', 'positive', 'easy'], ['NULL', 'laptop operation_performance', 'positive', 'not that slow'], ['NULL', 'laptop operation_performance', 'positive', 'fine']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i got this for my mother in law and she could not be happier with how it works ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'not be happier']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it was free with my phone , so the price was phenomenal ."], "output": "[['NULL', 'laptop price', 'positive', 'phenomenal']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["solid chromebook ."], "output": "[['chromebook', 'laptop quality', 'positive', 'solid']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i like the ease of connecting to the internet wi - fi ."], "output": "[['wi - fi', 'laptop connectivity', 'positive', 'ease']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["such a good investment , its so useful and works perfectly ."], "output": "[['NULL', 'laptop general', 'positive', 'good'], ['NULL', 'laptop general', 'positive', 'useful'], ['NULL', 'laptop general', 'positive', 'perfectly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i woudlnt recommend more than 10 active tabs which slows down some of the functionality but otherwise runs smoothly for students"], "output": "[['NULL', 'laptop operation_performance', 'positive', 'recommend'], ['NULL', 'laptop operation_performance', 'positive', 'smoothly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this device is mainly used for web browsing and pages load quickly , animations are swift and not laggy ."], "output": "[['device', 'laptop operation_performance', 'positive', 'swift'], ['device', 'laptop operation_performance', 'positive', 'not laggy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["buy this thing if you want a cheap , snappy web browser on - the - go ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'snappy'], ['NULL', 'laptop price', 'positive', 'cheap']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i am beyond impressed with this little machine , i would absolutly buy this again !"], "output": "[['machine', 'laptop general', 'positive', 'impressed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["battery works well , i get nearly 4 to 5 hours easily ."], "output": "[['battery', 'battery operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this item is excellent and not bad for the price ."], "output": "[['item', 'laptop general', 'positive', 'excellent'], ['item', 'laptop price', 'positive', 'not bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i just got mine the other day , & am still getting used to it , but at the moment i couldn ' t be happier , it will do everything i want it to do , & i couldn ' t care less about the things it won ' t do ."], "output": "[['NULL', 'laptop general', 'positive', \"' t be happier\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i would recommend this machine to anyone who wants an inexpensive web - content device ."], "output": "[['machine', 'laptop price', 'positive', 'inexpensive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["choose this one ."], "output": "[['NULL', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the overall durability is a bit suspect but with the price tag , it is essentially a 1 - 2 year investment for school ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'suspect'], ['NULL', 'laptop price', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["chromebooks are extremely light , easy to type on and come with complete integration into google cloud services like drive , docs and spreadsheets ."], "output": "[['chromebooks', 'laptop usability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["works well for writing novels which is what i bought it for ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it printed easily to our wireless printer too !"], "output": "[['NULL', 'laptop operation_performance', 'positive', 'easily']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["kinda small but good quality !"], "output": "[['NULL', 'laptop design_features', 'negative', 'small'], ['NULL', 'laptop quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["she loves it ."], "output": "[['NULL', 'laptop general', 'positive', 'loves']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["love this took place of my laptop ."], "output": "[['laptop', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i love my laptop !"], "output": "[['laptop', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great laptop for a good price too !"], "output": "[['laptop', 'laptop general', 'positive', 'great'], ['laptop', 'laptop price', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great buy , love the smaller size too !"], "output": "[['NULL', 'laptop general', 'positive', 'great'], ['NULL', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this little computer is awesome and it was so inexpensive for what you get !"], "output": "[['computer', 'laptop general', 'positive', 'awesome'], ['computer', 'laptop price', 'positive', 'inexpensive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very happy with this purchase"], "output": "[['NULL', 'laptop general', 'positive', 'happy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["delivered quickly , easy set up ."], "output": "[['NULL', 'shipping quality', 'positive', 'quickly'], ['set up', 'laptop usability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["surprisingly fast for such a small chrome book ."], "output": "[['chrome book', 'laptop operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["worked well when i had it ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["love the mobility of this ."], "output": "[['mobility', 'laptop portability', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["easy to use ."], "output": "[['NULL', 'laptop usability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i bought this for a linux machine and it does that just great ."], "output": "[['linux machine', 'laptop operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["another thing , it is much thinner than expected ."], "output": "[['NULL', 'laptop design_features', 'positive', 'thinner']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["nice little notebook !"], "output": "[['notebook', 'laptop general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i love this one !"], "output": "[['NULL', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i don ' t do much more than google searches , so the lower end model works great for me ."], "output": "[['model', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i am very happy with this item ."], "output": "[['item', 'laptop general', 'positive', 'happy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["long battery life ."], "output": "[['battery life', 'battery operation_performance', 'positive', 'long']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["lenovo has not disappointed with their products ."], "output": "[['lenovo', 'company general', 'positive', 'not disappointed'], ['products', 'laptop general', 'positive', 'not disappointed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s a solid and quality built laptop ."], "output": "[['laptop', 'laptop quality', 'positive', 'solid'], ['laptop', 'laptop quality', 'positive', 'quality built']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall for the price range , it ' s a fantastic laptop ."], "output": "[['laptop', 'laptop price', 'positive', 'fantastic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["2 ) the battery was pretty limited ."], "output": "[['battery', 'battery operation_performance', 'negative', 'limited']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the computer has a solid processor and enough memory to handle pretty much anything the average user willl throw at it , short of graphics - heavy gaming ."], "output": "[['memory', 'memory quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["that said : if you can deal with the short battery life , you ' re not going to find a better machine at this price ."], "output": "[['battery life', 'battery general', 'negative', 'short'], ['machine', 'laptop price', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the case is solid and attractive , the keyboard responsive and comfortable to use ( nice touch with the dedicated number keypad too ! )"], "output": "[['case', 'hardware general', 'positive', 'solid'], ['case', 'hardware general', 'positive', 'attractive'], ['keyboard', 'keyboard quality', 'positive', 'responsive'], ['keyboard', 'keyboard quality', 'positive', 'comfortable'], ['number keypad', 'keyboard quality', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is an okay laptop and nothing more ."], "output": "[['laptop', 'laptop general', 'neutral', 'okay']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["beautiful resolution"], "output": "[['resolution', 'display general', 'positive', 'beautiful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["bigger screen"], "output": "[['screen', 'display general', 'positive', 'bigger']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["nice keyboard"], "output": "[['keyboard', 'keyboard general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the charge cord is very short , about 1 / 2 the size of a regular charging cord"], "output": "[['charge cord', 'power_supply design_features', 'negative', 'short']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the battery capacity is 3 hours on a full charge"], "output": "[['battery capacity', 'battery quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the small battery capacity is the number one reason i would not buy this product and would recommend with that caveat being disclosed ."], "output": "[['battery capacity', 'battery quality', 'negative', 'small']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great item !"], "output": "[['item', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["laptop was new , in perfect condition and works like a charm ."], "output": "[['laptop', 'laptop general', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["mem , hdd , screed , dvd drive are all easily accessible and removable ."], "output": "[['mem', 'memory usability', 'positive', 'accessible'], ['mem', 'memory usability', 'positive', 'removable'], ['hdd', 'hard_disc usability', 'positive', 'accessible'], ['hdd', 'hard_disc usability', 'positive', 'removable'], ['screed', 'display usability', 'positive', 'accessible'], ['screed', 'display usability', 'positive', 'removable'], ['dvd drive', 'optical_drives usability', 'positive', 'accessible'], ['dvd drive', 'optical_drives usability', 'positive', 'removable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["720p screen that ' s not very bright ."], "output": "[['720p screen', 'display operation_performance', 'negative', 'not very bright']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["short charging cable ."], "output": "[['charging cable', 'power_supply design_features', 'negative', 'short']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m giving this five stars considering the price ."], "output": "[['NULL', 'laptop price', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it can also run modded skyrim with no issues , which is nice bonus for me ."], "output": "[['NULL', 'laptop general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["all in all , as long as you update windows often and tinker with it a little , you can get that laptop to do practically anything you want it to do ."], "output": "[['laptop', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["lots of space , fast , and it will last a long time with ita top shelf technology ."], "output": "[['NULL', 'laptop design_features', 'positive', 'NULL'], ['NULL', 'laptop quality', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but overall a good laptop for productivity ."], "output": "[['laptop', 'laptop quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["good laptop thank you ."], "output": "[['laptop', 'laptop general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["right out of the box , this computer is really slow , but two simple steps easily fix that issue ."], "output": "[['computer', 'laptop general', 'negative', 'slow'], ['computer', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall , its a decent machine for the money , and for $ 35 more for a cheap ssd , it really works great for a low buck budget friendly laptop ."], "output": "[['machine', 'laptop price', 'positive', 'decent'], ['NULL', 'laptop operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my girlfriend works from home with it and has no problems at all to do online classes with it ."], "output": "[['NULL', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["decent laptop for home use ."], "output": "[['laptop', 'laptop general', 'positive', 'decent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the price is right too ."], "output": "[['NULL', 'laptop price', 'positive', 'right']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great value , i wanted a laptop for my personal home use ."], "output": "[['laptop', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is actually the first laptop that fitted all my needs , big clear screen , battery life sucks but this is a power house laptop meant to be in one place since its so big , very good computer replacement , amazing sound and screen and very fast ."], "output": "[['screen', 'display design_features', 'positive', 'big'], ['screen', 'display design_features', 'positive', 'clear'], ['battery life', 'battery operation_performance', 'negative', 'sucks'], ['computer replacement', 'laptop general', 'positive', 'good'], ['sound', 'multimedia_devices general', 'positive', 'amazing'], ['NULL', 'display general', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great product and price"], "output": "[['product', 'laptop general', 'positive', 'great'], ['product', 'laptop price', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this laptop is great for a lot of modern games ."], "output": "[['laptop', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["bought this for web surfing at home ."], "output": "[['NULL', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["price is good"], "output": "[['NULL', 'laptop price', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the large screen and integral numeric pad are exactly what i need to easily process documents ."], "output": "[['screen', 'display design_features', 'positive', 'large'], ['integral numeric pad', 'keyboard usability', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["highly recommend , great value , use computer mainly for online business and is quick and easy to use"], "output": "[['computer', 'laptop general', 'positive', 'recommend'], ['computer', 'laptop general', 'positive', 'great'], ['computer', 'laptop operation_performance', 'positive', 'quick'], ['computer', 'laptop usability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["ordered this computer to use in college and also for gaming ."], "output": "[['computer', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["although it can be a little slow at times , overall it runs great , and can run most popular games at a decent fps on medium settings ."], "output": "[['NULL', 'laptop general', 'negative', 'slow'], ['NULL', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the computer looks nice , and works good ."], "output": "[['computer', 'laptop general', 'positive', 'nice'], ['computer', 'laptop operation_performance', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["love love love this laptop !"], "output": "[['laptop', 'laptop general', 'positive', 'love'], ['laptop', 'laptop general', 'positive', 'love'], ['laptop', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["what a tragic mistake buying a computer with windows 10 !"], "output": "[['computer with windows 10', 'os general', 'negative', 'tragic'], ['computer with windows 10', 'laptop general', 'negative', 'tragic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great laptop great price ."], "output": "[['laptop', 'laptop general', 'positive', 'NULL'], ['laptop', 'laptop price', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great customer service ."], "output": "[['customer service', 'support general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["good computer good memory"], "output": "[['computer', 'laptop general', 'positive', 'NULL'], ['memory', 'memory general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["amazing laptop !"], "output": "[['laptop', 'laptop general', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this laptop is the best of both worlds"], "output": "[['laptop', 'laptop general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["not bad for the a basic betty or plain jane laptop"], "output": "[['laptop', 'laptop general', 'neutral', 'not bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i only wish this laptop had a removable battery other than that it ' s great ."], "output": "[['battery', 'battery design_features', 'negative', 'NULL'], ['laptop', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["( not amazing graphics at those settings )"], "output": "[['graphics', 'graphics operation_performance', 'neutral', 'not amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["solid inexpensive computer for our 10 year old"], "output": "[['computer', 'laptop design_features', 'positive', 'solid'], ['computer', 'laptop price', 'positive', 'inexpensive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very happy with my purchase , fast delivery , package well ."], "output": "[['delivery', 'shipping quality', 'positive', 'fast'], ['package', 'shipping quality', 'positive', 'well'], ['NULL', 'laptop general', 'positive', 'happy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great little laptop for the money ."], "output": "[['laptop', 'laptop price', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["good laptop ."], "output": "[['laptop', 'laptop general', 'positive', 'good'], ['laptop', 'laptop general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["you just have to deal with a low battery and that ' s all"], "output": "[['battery', 'battery operation_performance', 'negative', 'low']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is a little slow at times though ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'slow']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great laptop , would not recommend for hardcore gaming , but light gaming it can handle ."], "output": "[['laptop', 'laptop general', 'positive', 'great'], ['laptop', 'laptop operation_performance', 'negative', 'not recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this has worked great to overcome that problem ."], "output": "[['NULL', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great amount of memory for a small business ."], "output": "[['memory', 'memory general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we are very happy with the lenovo laptop ."], "output": "[['lenovo laptop', 'laptop general', 'positive', 'happy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s very easy to set up and use"], "output": "[['set up', 'laptop usability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["once i got it set up it has been very nice ."], "output": "[['set up', 'laptop general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["noisy hdr , better with ssd ) works quickly ."], "output": "[['hdr', 'hard_disc operation_performance', 'negative', 'noisy'], ['ssd', 'hard_disc general', 'positive', 'better'], ['ssd', 'hard_disc general', 'positive', 'quickly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so far so good , good quality , plenty fast enough for streaming and browsing ."], "output": "[['NULL', 'laptop general', 'positive', 'good'], ['NULL', 'laptop quality', 'positive', 'NULL'], ['NULL', 'laptop operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my dad says it works extremely well !"], "output": "[['NULL', 'laptop general', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["love this computer !"], "output": "[['computer', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["love my new lenovo ."], "output": "[['lenovo', 'company general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["pretty fast processor ."], "output": "[['processor', 'cpu operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["excellent lapto , just as they show it ."], "output": "[['lapto', 'laptop general', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very good laptop for gamers and editing videos , love it"], "output": "[['laptop', 'laptop general', 'positive', 'good'], ['laptop', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is very good to use in korea ."], "output": "[['NULL', 'laptop usability', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["good price , good quality and good service in korea ."], "output": "[['NULL', 'laptop price', 'positive', 'NULL'], ['NULL', 'laptop quality', 'positive', 'NULL'], ['service', 'support general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["love it !"], "output": "[['NULL', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["nice laptop !"], "output": "[['laptop', 'laptop general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the best laptop for its price ."], "output": "[['laptop', 'laptop price', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i recommend it , definitely"], "output": "[['NULL', 'laptop general', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s exactly as i wanted it"], "output": "[['NULL', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i like it"], "output": "[['NULL', 'laptop general', 'positive', 'like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is the most well priced laptop for its spec"], "output": "[['laptop', 'laptop price', 'positive', 'well'], ['spec', 'laptop price', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very good laptop"], "output": "[['laptop', 'laptop general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["lenovo computers are of chinese manufacture and thus you will not know if yours is one of the pla ' s cyber - spies ."], "output": "[['lenovo computers', 'company general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["battery life short"], "output": "[['battery life', 'battery operation_performance', 'negative', 'short']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve had this laptop for 4 months and it ' s run very well considering it ' s price ."], "output": "[['laptop', 'laptop operation_performance', 'positive', 'well'], ['laptop', 'laptop price', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["only issue is that the graphics aren ' t quite as good as i expected , but i didn ' t buy this to use as a gaming pc so i ' m not overly concerned about it ."], "output": "[['graphics', 'graphics operation_performance', 'neutral', \"' t quite as good as\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is a great laptop for web browsing , skype , and more simple games ."], "output": "[['laptop', 'laptop operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["photoshop also runs very well ."], "output": "[['photoshop', 'software operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i would definitely recommend this laptop to anyone who is looking for a cheap and nice computer ."], "output": "[['laptop', 'laptop general', 'positive', 'recommend'], ['computer', 'laptop general', 'positive', 'nice'], ['computer', 'laptop price', 'positive', 'cheap']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["love it ."], "output": "[['NULL', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very happy with it ."], "output": "[['NULL', 'laptop general', 'positive', 'happy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["excellent computer , better than expected ."], "output": "[['computer', 'laptop general', 'positive', 'excellent'], ['computer', 'laptop general', 'positive', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great service with amazon on fulfilling my order ."], "output": "[['service with amazon', 'support general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i am truly enjoying my laptop after one month ."], "output": "[['laptop', 'laptop general', 'positive', 'enjoying']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i use it for streaming with the elgato device and it doesn ' t miss a beat ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["you can ' t beat the price for what you are getting with this computer ."], "output": "[['computer', 'laptop price', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["love the graphics when i replay my videos or watch other streamers ."], "output": "[['graphics', 'display operation_performance', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if you need a decent computer that runs quality this is it , especially if you are starting out ."], "output": "[['computer', 'laptop general', 'positive', 'decent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the fans did not turn on loudly if at all ."], "output": "[['fans', 'fans&cooling operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["purchased as a mothers day gift but i ' ve come to respect the quality and performance of lenovo ."], "output": "[['lenovo', 'laptop quality', 'positive', 'respect'], ['lenovo', 'laptop operation_performance', 'positive', 'respect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i bought this because i have a desk job overnight that usually has a lot of down time so i when i have the ability to i can open this up and catch up on my news , watch movies , and even play video games and the graphics card in it is amazing ."], "output": "[['NULL', 'laptop usability', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["fast delivery , thanks to amazon ."], "output": "[['delivery', 'shipping operation_performance', 'positive', 'fast'], ['amazon', 'company general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["excellent price , i bought it for a beginner in art design field ."], "output": "[['NULL', 'laptop price', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s been about 3 weeks since my purchase of my lenova laptop and figure it ' s time to give my all important review ."], "output": "[['lenova laptop', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["love the price reduction and the lenova one year warranty ."], "output": "[['lenova one year warranty', 'warranty general', 'positive', 'love'], ['NULL', 'laptop price', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["pros : nice size , clear screen , quick on start up , very functional and easy to use ."], "output": "[['NULL', 'laptop design_features', 'positive', 'nice'], ['screen', 'display general', 'positive', 'clear'], ['NULL', 'laptop operation_performance', 'positive', 'quick'], ['NULL', 'laptop usability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s also very lightweight , so it ' s easy to carry around ."], "output": "[['NULL', 'laptop design_features', 'positive', 'lightweight'], ['NULL', 'laptop portability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i love the fact that it can extend and be flat ."], "output": "[['NULL', 'laptop design_features', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard is a nice size and the pads clicks on touch and not stiff or hard ."], "output": "[['keyboard', 'keyboard design_features', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it also has a lot of space and memory ."], "output": "[['NULL', 'laptop design_features', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["cons : i wished it had a backlight on the keyboard ."], "output": "[['NULL', 'keyboard design_features', 'negative', 'cons']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the battery life sucks as it starts to die after 3 - 4 hours of use ( no gaming ) ."], "output": "[['battery life', 'battery operation_performance', 'negative', 'sucks']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["lastly , the touch pad , even after lowering the sensitivity , it ' s still pretty sensitive and the click pads are stiff , so it doesn ' t tap on clicks , sometimes i have to click on it hard enough , so that ' s a bit annoying ."], "output": "[['touch pad', 'keyboard operation_performance', 'negative', 'annoying']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["after reading a lot of the reviews on here , i was unsure about laptop ."], "output": "[['laptop', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["only con would be that display is not that bright , although i would say at the brightest setting is probably where it should be ."], "output": "[['display', 'display operation_performance', 'negative', 'con']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["also audio is pretty decent ."], "output": "[['audio', 'multimedia_devices general', 'positive', 'decent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["lenovo should put a better battery in it , and should make a retrofit available ."], "output": "[['better', 'company design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but if you keep it plugged in it ' s great !"], "output": "[['NULL', 'laptop operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["lenovo paid for my shipping to the repair facility since i ' d had it such a short time , and they fixed and returned it in a reasonable time period ."], "output": "[['lenovo', 'support operation_performance', 'positive', 'reasonable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["have not tried customer service so no comment , but this is a nice sub $ 400 machine ."], "output": "[['machine', 'laptop price', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i love this laptop !"], "output": "[['laptop', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it works like it is made to run linux ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the only real complain is the same one everyone else has with this model and that is the battery life could be better ."], "output": "[['battery life', 'battery operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it does great and has lots of cool stuff"], "output": "[['NULL', 'laptop general', 'positive', 'great'], ['NULL', 'laptop general', 'positive', 'cool']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["excellent product and experience with the purchase ."], "output": "[['product', 'laptop general', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but the worse webcam i ' ve seen in a while and the battery dies very fast ."], "output": "[['webcam', 'out_of_scope general', 'negative', 'worse'], ['battery', 'battery operation_performance', 'negative', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it was easy to set up ."], "output": "[['NULL', 'laptop usability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is a very good laptop ."], "output": "[['NULL', 'laptop general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["laptop meets spec for what it was purchased to do but disappointed it was shipped with a charger not compatible with location it was shipped to ( needed to buy an adapter to convert from 2 pin to 3 pin plug )"], "output": "[['laptop', 'laptop general', 'positive', 'NULL'], ['NULL', 'shipping general', 'negative', 'disappointed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it has everything he wanted and needs ."], "output": "[['NULL', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we have always liked lenovo laptops ."], "output": "[['lenovo laptops', 'company general', 'positive', 'liked']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["love it so far very nice product and it do what it is set out to do"], "output": "[['product', 'laptop general', 'positive', 'love'], ['product', 'laptop general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i got this lenovo ideapad 320 ( the amd a12 7th generation version ) and it ' s absolutely incredible !"], "output": "[['lenovo ideapad 320', 'laptop general', 'positive', 'incredible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["really fast also lenovo ' s customer service excellent ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'fast'], ['customer service', 'support general', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["cons hd display is n ' t the greatest"], "output": "[['hd display', 'display general', 'negative', 'cons'], ['hd display', 'display general', 'negative', \"n ' t the greatest\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["battery last 2 1 / 2 hours"], "output": "[['battery', 'battery operation_performance', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i bought mine this year february and the laptop is very awesome the boot speed is perfect and the gaming it ' s fine as well and yeah i can say it depends on what you want to use with your laptop but overall the laptop is fine the only problem is the cooling fan it is too loud but the processor the ram the storage it ' s fine"], "output": "[['laptop', 'laptop general', 'positive', 'awesome'], ['NULL', 'laptop general', 'positive', 'fine'], ['boot speed', 'os general', 'positive', 'perfect'], ['cooling fan', 'fans&cooling operation_performance', 'negative', 'loud'], ['processor', 'cpu general', 'positive', 'NULL'], ['ram', 'memory general', 'positive', 'NULL'], ['storage', 'hard_disc general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i don ' t like the fact that the battery go low very fast ."], "output": "[['battery', 'battery operation_performance', 'negative', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it has way more than i will ever need because all i do is check my email and facebook , but it is crazy fast ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i don ' t really have anywhere to rest my hand when i use it because it ' s so large ."], "output": "[['NULL', 'keyboard design_features', 'negative', 'large']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["otherwise i really do love it"], "output": "[['NULL', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["plenty of memory and storage ."], "output": "[['memory', 'memory general', 'positive', 'NULL'], ['storage', 'hard_disc general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["love this laptop"], "output": "[['laptop', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i am very happy with this laptop ."], "output": "[['laptop', 'laptop general', 'positive', 'happy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the screen is just right ."], "output": "[['screen', 'display general', 'positive', 'right']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i bought this for my daughter for school and she loves it ."], "output": "[['NULL', 'laptop general', 'positive', 'loves']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the specs are good on this for a good cheap low end gaming machine ."], "output": "[['specs', 'laptop design_features', 'positive', 'good'], ['machine', 'laptop general', 'positive', 'NULL'], ['machine', 'laptop price', 'positive', 'cheap']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so before you get angry do your homework on why the laptop may be acting strange ."], "output": "[['laptop', 'laptop general', 'negative', 'angry']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great computer ."], "output": "[['computer', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["fast , sturdy with a beautiful display"], "output": "[['NULL', 'laptop operation_performance', 'positive', 'fast'], ['NULL', 'laptop design_features', 'positive', 'sturdy'], ['display', 'display general', 'positive', 'beautiful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["1 , bloatware from hell and 2 , a very cheap crappy 5400rpm hdd ."], "output": "[['bloatware', 'software general', 'negative', 'NULL'], ['5400rpm hdd', 'hard_disc price', 'negative', 'cheap'], ['5400rpm hdd', 'hard_disc price', 'negative', 'crappy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["multitasking is pretty good ."], "output": "[['multitasking', 'laptop operation_performance', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["battery is okay ."], "output": "[['battery', 'battery general', 'neutral', 'okay']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["keyboard is pretty damn good and the track pad is fair ."], "output": "[['keyboard', 'keyboard general', 'positive', 'good'], ['track pad', 'hardware general', 'positive', 'fair']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["fan noise could be a bit quieter when the cpu is being taxed but not annoyingly loud either , under lite use the pc is silent ."], "output": "[['fan', 'fans&cooling operation_performance', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["has ac wireless so you can see the 5ghz on your network , blazing fast ."], "output": "[['ac wireless', 'ports operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["at this price range it is a fine screen ."], "output": "[['screen', 'display price', 'positive', 'fine']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great laptop if you are willing to put in an ssd and reinstall windows ."], "output": "[['laptop', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is very easy to use the set up was awesome ."], "output": "[['set up', 'software usability', 'positive', 'easy'], ['set up', 'software usability', 'positive', 'awesome']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["that said if you ' re not a computer savvy no worries as soon as you turn it on cortana the computers assistant walks you through everything that you need to do ."], "output": "[['NULL', 'os general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have had no issues with it since i bought it i would highly recommend it ."], "output": "[['NULL', 'laptop general', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i loved how fast it was ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'loved'], ['NULL', 'laptop operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["also can not just ` ` add ` ` memory ddms : only one socket means you must remove the 8gb and purchace a 16gb ( ~ $ 180 further investment ) ; battery not gon na last several hrs , looking at ~ 2 - 4 ."], "output": "[['memory ddms', 'memory general', 'neutral', 'NULL'], ['battery', 'battery operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i love this laptop so far ."], "output": "[['laptop', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the start up process was very simple and relatively quick ."], "output": "[['start up', 'os operation_performance', 'positive', 'quick']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i was able to download all of my games in a quick amount of time too ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'quick']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the laptop is the perfect size , it ' s not too heavy and it ' s slim ."], "output": "[['laptop', 'laptop design_features', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["have had mine for about 3 - 4 wks and have had no trouble ."], "output": "[['NULL', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the tech and the quantities ( ram , etc . )"], "output": "[['NULL', 'laptop miscellaneous', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i love my laptop but the battery life is the worst i ' ve ever had on a laptop ."], "output": "[['laptop', 'laptop general', 'positive', 'love'], ['battery life', 'battery general', 'negative', 'worst']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s still loading and working pretty fast and you ca n ' t beat the storage for the price ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'fast'], ['storage', 'hard_disc price', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall i ' m happy with it for what i use it for ."], "output": "[['NULL', 'laptop general', 'positive', 'happy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if your main priority is a long lasting battery this is n ' t for you ."], "output": "[['battery', 'battery general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great price for a nice laptop ."], "output": "[['laptop', 'laptop price', 'positive', 'nice'], ['laptop', 'laptop price', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["bought this for my daughter ' s senior year of college and she ' s very happy ."], "output": "[['NULL', 'laptop general', 'positive', 'happy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is a very nice computer that serves his needs very well ."], "output": "[['computer', 'laptop general', 'positive', 'nice'], ['computer', 'laptop general', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["8g is enough to do most daily activities , i use nvidia geforce now to play much higher end games like destiny 2 , r6 and what not ."], "output": "[['nvidia geforce', 'graphics general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the only cons are the battery and the brightness of the screen ."], "output": "[['battery', 'battery general', 'negative', 'cons'], ['screen', 'display design_features', 'negative', 'cons']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is a brand i look for that i feel i can trust ."], "output": "[['brand', 'company general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["works great and looks great ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'great'], ['NULL', 'laptop design_features', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great buy ."], "output": "[['NULL', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the laptop works well , i have no complaints ."], "output": "[['laptop', 'laptop operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the only draw back with this pc is the battery life which lasts about 3 hrs before needing to be charged ."], "output": "[['battery life', 'battery operation_performance', 'negative', 'draw back']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["nice little computer for the price ."], "output": "[['computer', 'laptop price', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but i would have never bought it if i knew that windows 10 was the worst , god awful garbage operating system i have ever encountered ."], "output": "[['windows 10', 'os general', 'negative', 'worst'], ['windows 10', 'os general', 'negative', 'awful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i hate windows 10 ."], "output": "[['windows 10', 'os general', 'negative', 'hate']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["liking it a lot ."], "output": "[['NULL', 'laptop general', 'positive', 'liking']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["haven ' t had it long so only 4 stars but if it holds up it ' s worth 5 ."], "output": "[['NULL', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["has nice features for the price and nice video for streaming movies ."], "output": "[['NULL', 'laptop price', 'positive', 'nice'], ['video', 'multimedia_devices general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["bought this for my ten year old for school and creating ."], "output": "[['NULL', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["she loves it !"], "output": "[['NULL', 'laptop general', 'positive', 'loves']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i would buy this for myself as well ."], "output": "[['NULL', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i wish the camera was a little better , but it ' s great otherwise ."], "output": "[['camera', 'multimedia_devices general', 'negative', 'NULL'], ['NULL', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i do like it , just now that i had time to use it in preparing for my exams , the following was observed : -"], "output": "[['NULL', 'laptop general', 'positive', 'like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["battery life sucks ."], "output": "[['battery life', 'battery general', 'negative', 'sucks']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the camera sucks ."], "output": "[['camera', 'multimedia_devices general', 'negative', 'sucks']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is nice for the price and has good speed ."], "output": "[['NULL', 'laptop price', 'positive', 'nice'], ['NULL', 'laptop operation_performance', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this laptop exceeds my expectations for a mid - price laptop ."], "output": "[['laptop', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the only problem is that certain streaming video applications freeze up in windows 10 and i can not remember how i resolved the problem on my old laptop ."], "output": "[['streaming video applications', 'software general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the customer support rep at amazon was of no help , though he did try ."], "output": "[['customer support rep', 'support general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i use this laptop for work ."], "output": "[['laptop', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["otherwise , it ' s a good computer ."], "output": "[['computer', 'laptop general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s pretty fast even with heavy use and multiple applications running at once ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["love the laptop ; great quality ; sent as expected , on time ."], "output": "[['laptop', 'laptop general', 'positive', 'love'], ['NULL', 'laptop quality', 'positive', 'great'], ['NULL', 'shipping general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is far and away the best i ' ve ever had ."], "output": "[['NULL', 'laptop general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["fantastic computer ."], "output": "[['computer', 'laptop general', 'positive', 'fantastic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the programs run great with no lag time ."], "output": "[['programs', 'software general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["battery lasts for quite sometime ."], "output": "[['battery', 'battery operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s not real fast and it doesn ' t have a lot of storage ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL'], ['storage', 'hard_disc general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i don ' t ask much of a laptop so i am happy with it ."], "output": "[['laptop', 'laptop general', 'positive', 'happy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s fast , connects quickly to wifi , and the screen is quite nice ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'fast'], ['NULL', 'laptop connectivity', 'positive', 'quickly'], ['screen', 'display general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i liked the fact that lenovo came with the microsoft programs on it ."], "output": "[['lenovo', 'laptop design_features', 'positive', 'liked']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the only problem that i have found about lenovo is that it comes with a program called migration , which is supposed to migrate your things from your old computer to your new computer ."], "output": "[['migration', 'software design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["no problems with this computer ."], "output": "[['computer', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i enjoy that it has 10 key ."], "output": "[['NULL', 'laptop design_features', 'positive', 'enjoy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["fast to start up ."], "output": "[['start up', 'laptop operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["for reference : ive had this laptop for about 4 months now for my first year at college ."], "output": "[['laptop', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if all you are looking for is a reliable laptop to write papers on or to browse the web , this is good ."], "output": "[['laptop', 'laptop general', 'positive', 'reliable'], ['laptop', 'laptop general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["youtube works well on here ."], "output": "[['youtube', 'software operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["runs great - however , i just tried to upload my small adventure videos and the built in video player stops mid video about 10 seconds in - audio continues ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'great'], ['video player', 'multimedia_devices operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["battery life is horrible though ."], "output": "[['battery life', 'battery operation_performance', 'negative', 'horrible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["easy to use and set up ."], "output": "[['set up', 'laptop usability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["sorry not a fan of windows 10 ."], "output": "[['windows 10', 'os general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["nice little laptop ."], "output": "[['laptop', 'laptop general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["nice laptop for every day use , with some extra features ."], "output": "[['laptop', 'laptop general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my only issue is that the fan is very noisy and gets stuck at times , causing worry about the laptop getting overheated ."], "output": "[['fan', 'fans&cooling operation_performance', 'negative', 'noisy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i am very much in the causal gamer category , sims 4 being probably the most taxing ( on the system ) game i will play , and it seems to be running it just fine ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'fine']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["really happy with this laptop !"], "output": "[['laptop', 'laptop general', 'positive', 'happy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i just received this product about an hour or so ago ."], "output": "[['product', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have yet to update the drives on it or try a game but so far its a good machine ."], "output": "[['machine', 'laptop general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i recommend buying it ."], "output": "[['NULL', 'laptop general', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very nice i love it it work very well even i instal gta 5 it run but not enoght video card mb but run at all"], "output": "[['NULL', 'laptop operation_performance', 'positive', 'nice'], ['NULL', 'laptop operation_performance', 'positive', 'love'], ['NULL', 'laptop operation_performance', 'positive', 'well'], ['video card', 'memory general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very good purchase ."], "output": "[['NULL', 'laptop general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the price was great during prime days ."], "output": "[['NULL', 'laptop price', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["works well so far ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["price and product , outstanding ."], "output": "[['product', 'laptop price', 'positive', 'outstanding']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i like the size but dislike the battery life ."], "output": "[['NULL', 'laptop design_features', 'positive', 'like'], ['battery life', 'battery general', 'negative', 'dislike']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["still learning but it ' s a good computer and a great deal"], "output": "[['computer', 'laptop general', 'positive', 'good'], ['computer', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it look like a professional laptop but overrall get this laptop you wo n ' t regret it , no negativity about it"], "output": "[['NULL', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great computer for the price"], "output": "[['computer', 'laptop price', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["works well ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great laptop , very quick and efficient for work and casual gaming , got over 200 fps for steam games ."], "output": "[['laptop', 'laptop general', 'positive', 'great'], ['laptop', 'laptop operation_performance', 'positive', 'quick'], ['laptop', 'laptop operation_performance', 'positive', 'efficient']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great speed and storage ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'great'], ['storage', 'hard_disc general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve had it since may and enjoy it"], "output": "[['NULL', 'laptop general', 'positive', 'enjoy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["1 , the touchscreen stopped working after 6 months for finger presses ."], "output": "[['touchscreen', 'display operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["samsung keeps telling me that the serial number is invalid ."], "output": "[['samsung', 'support general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["samsung ' s warranty process was not working properly for this device ."], "output": "[[\"samsung ' s warranty\", 'warranty general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["when i called they would not accept the serial number ."], "output": "[['NULL', 'support general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["don ' t buy it ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["do not buy it like me , a samsung fan ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this device ( and its brother the plus ) has a grave hardware flaw that causes the touchscreen to move on its own ."], "output": "[['hardware', 'hardware operation_performance', 'negative', 'flaw'], ['touchscreen', 'display operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i got a replacement unit and it had the same issue ."], "output": "[['unit', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["samsung has not been helpful in getting this fixed ."], "output": "[['samsung', 'company operation_performance', 'negative', 'not been helpful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it makes the entire device unusable ."], "output": "[['device', 'laptop usability', 'negative', 'unusable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["ridiculous for something so expensive , some internet research shows numerous people having this issue ."], "output": "[['NULL', 'laptop price', 'negative', 'ridiculous']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i like everything about the device , but the beautiful touchscreen ended up malfunctioning about 6 - months after purchase ."], "output": "[['device', 'laptop general', 'positive', 'like'], ['touchscreen', 'display design_features', 'positive', 'beautiful'], ['touchscreen', 'display quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["samsung rma ' d the device to replace the screen ."], "output": "[['samsung', 'support operation_performance', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the solution i am trying for now is to disable the touch screen ."], "output": "[['touch screen', 'display quality', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["hot / dead pixels on screen after 4 months use ."], "output": "[['screen', 'display quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the pro worked great until now ."], "output": "[['pro', 'laptop operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["now there are pixels on the screen not working , and they are multiplying ."], "output": "[['screen', 'display quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the pixels are currently stuck ."], "output": "[['pixels', 'display operation_performance', 'negative', 'stuck']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i will see if samsung honors their warrnty , if so , i will probably change / update this review ."], "output": "[['samsung', 'company general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the chromebook is an amazing product with one huge glaring flaw - you can not use the sd card with any android apps , nor use android apps with wifi tethering or anything reaching ` ` outside the sandbox ` ` ."], "output": "[['chromebook', 'laptop general', 'positive', 'amazing'], ['sd card', 'ports operation_performance', 'negative', 'flaw']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["oops , i didn ' t anticipate android is crippled on here ."], "output": "[['android', 'software operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if you are wanting a beautiful screen that beats all other tablets for color range and matches samsung ' s galaxy tab s3 ( top android tablet ) , but if you absolutely must have a keyboard , don ' t buy this ."], "output": "[['screen', 'display design_features', 'positive', 'beautiful'], ['keyboard', 'keyboard general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i am terribly disappointed with obviously a poor qc by samsung ."], "output": "[['qc', 'company quality', 'negative', 'disappointed'], ['qc', 'company quality', 'negative', 'poor']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["unfortunately , on day 2 since i received the chromebook pro , when i flipped the lid to turn it into a tablet / tent mode , screen started flickering all over the place ."], "output": "[['screen', 'display operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["returning it into a standard laptop position did not help , the screen actually turned dark and only closing and opening the lid helped return it to normal state ."], "output": "[['screen', 'display operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["to make things worse , i currently live overseas and am highly doubtful that samsung would do anything about this , given that it was bought in the us ."], "output": "[['samsung', 'support operation_performance', 'negative', 'doubtful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["no matter where on earth , you can get your apple product repaired ."], "output": "[['apple product', 'support general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["in short , i would be very cautious as to ordering this product given the obvious history of quality control issues ."], "output": "[['product', 'laptop quality', 'negative', 'cautious']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["wanting something maybe a pinch faster , but more importantly , a flippy touchscreen with google play support ."], "output": "[['touchscreen', 'display operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["first and foremost , lets talk about the infamous keyboard ."], "output": "[['keyboard', 'keyboard general', 'negative', 'infamous']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["yes , it ' s absolute garbage ."], "output": "[['NULL', 'keyboard general', 'negative', 'garbage']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m surprised people are settling for claiming ` ` it ' s good enough ` ` or ` ` gets the job done ` ` when every time i use it , i ' m constantly reminded of how i should have just sprang for the pixelbook when it was on sale for $ 699 ."], "output": "[['NULL', 'laptop price', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve owned / used dozens upon dozens of keyboards and there is absolutely no questions this one is the worst ."], "output": "[['keyboards', 'keyboard general', 'negative', 'worst']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my 2nd issues is with it ' s performance ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["even in the early rounds the frames are heavily compromised and the entire game feels very sluggish ."], "output": "[['NULL', 'software operation_performance', 'negative', 'sluggish']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ll give the chromebook pro an extra star for its best asset , the screen ."], "output": "[['screen', 'display general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it does indeed look excellent !"], "output": "[['NULL', 'display design_features', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s also worth noting my unit came with a floating trackpad , with initial play before the actually click ."], "output": "[['trackpad', 'display operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if you are indifferent about the screen , do not buy this !"], "output": "[['screen', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i just got this chromebook last week and since then i ' ve had to do a hard reboot once and it has reset itself to factory settings about 5 times ."], "output": "[['chromebook', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["there is a power button on the side which i have accidentally hit quite a few times ."], "output": "[['power button', 'keyboard design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i haven ' t abused this at all , and i noticed a small crack in the screen today and it ' s starting to spider out ."], "output": "[['screen', 'display quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so $ 500 bucks down the drain as i ' m sure that isn ' t covered by any warranties ."], "output": "[['warranties', 'warranty quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["with it being a touch screen it surprised me that it cracked and i have no idea how ."], "output": "[['touch screen', 'display operation_performance', 'negative', 'surprised']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my screen stayed black more than it was on ."], "output": "[['screen', 'display operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["samsung needs to fix that issue ."], "output": "[['samsung', 'company general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["possible note , it was very light ."], "output": "[['NULL', 'laptop portability', 'positive', 'light']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["while this thing is gorgeous and the perfect size for what i was looking for , my initial display died after not even 12 hours of use ."], "output": "[['NULL', 'laptop general', 'positive', 'gorgeous'], ['NULL', 'laptop design_features', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["except , you know , when it decided to become unusable ."], "output": "[['it', 'laptop operation_performance', 'negative', 'unusable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i just wanted to make it known my personal experiences with the device ."], "output": "[['device', 'laptop operation_performance', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["awesome display ."], "output": "[['display', 'display general', 'positive', 'awesome']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["fast boot and reliable os ."], "output": "[['boot', 'os operation_performance', 'positive', 'fast'], ['boot', 'os operation_performance', 'positive', 'reliable'], ['os', 'os operation_performance', 'positive', 'fast'], ['os', 'os operation_performance', 'positive', 'reliable'], ['os', 'os miscellaneous', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["chassis could be studier and keyboard and trackpad very average and lack of backlight is a deal breaker for me ."], "output": "[['chassis', 'hardware general', 'neutral', 'NULL'], ['keyboard', 'keyboard design_features', 'neutral', 'average'], ['trackpad', 'keyboard design_features', 'neutral', 'average'], ['backlight', 'keyboard design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["mouse track pad is non standard ."], "output": "[['mouse track pad', 'hardware operation_performance', 'negative', 'non standard']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s hard to navigate and i had to buy a usb mouse and a usb connector ."], "output": "[['NULL', 'hardware operation_performance', 'negative', 'hard']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i say this device is worth no more than $ 300 ."], "output": "[['device', 'laptop price', 'negative', 'worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is very limited and the competition for an actual usable operating system that can do a lot more than just browse the internet , are available ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'limited'], ['operating system', 'os operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the quality is is meh ."], "output": "[['the quality', 'laptop quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["its cheap plastic and honestly , the keyboard its really bad ."], "output": "[['NULL', 'laptop design_features', 'negative', 'cheap'], ['keyboard', 'keyboard general', 'negative', 'bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it simply feels like a cheap samsung tablet with a keyboard attached ."], "output": "[['samsung tablet', 'laptop miscellaneous', 'negative', 'cheap']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the playstore its immature ."], "output": "[['playstore', 'software usability', 'negative', 'immature']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["their designs are made for phones and on this huge screen , they are palpitated ."], "output": "[['designs', 'software design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is quite honest , a very expensive chrome browser ."], "output": "[['chrome browser', 'laptop price', 'negative', 'expensive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i do not recommend it at this price point ."], "output": "[['NULL', 'laptop price', 'negative', 'not recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i would however spend $ 300 on this device ."], "output": "[['device', 'laptop price', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["its current price is not worth it ."], "output": "[['NULL', 'laptop price', 'negative', 'not worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["after a couple of weeks i started experiencing web browsing issues ."], "output": "[['web browsing', 'software operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["first occasionally and later to a point where the laptop became unusable ."], "output": "[['laptop', 'laptop operation_performance', 'negative', 'unusable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["after some googling i realized that the wifi issue was related to bluetooth being on ."], "output": "[['wifi', 'ports operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["stylus also failed and is now stuck inside the laptop so i can ' t really use it for screen capturing ."], "output": "[['stylus', 'hardware operation_performance', 'negative', 'failed'], ['stylus', 'hardware operation_performance', 'negative', 'stuck']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["10 minutes after finishing this review started having a new issue : touch pad started acting out ."], "output": "[['touch pad', 'hardware operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["you know , i wanted to love this machine ."], "output": "[['machine', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i went in to this purchase assuming that the availability of android apps from the google play store would make this unit into a true windows alternative ."], "output": "[['android apps', 'software usability', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["before i get to that , let me first confirm that the keyboard is indeed appallingly bad ."], "output": "[['keyboard', 'keyboard operation_performance', 'negative', 'bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["' what a bunch of whiners , ' i concluded about all the people who slammed the keyboard ."], "output": "[['keyboard', 'keyboard general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so one star off for the keyboard ."], "output": "[['keyboard', 'keyboard general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["needless to say , if you thought this capability would allow you to use a browser other than chrome , forget it ."], "output": "[['NULL', 'os operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["none of their android versions were what i would call usable ."], "output": "[['android versions', 'software usability', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["in short , this unit is a chromebook with a really nice display ."], "output": "[['display', 'display general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if you want to spend 5 or 6 hundred bucks for that , rock on ."], "output": "[['NULL', 'laptop price', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["unfortunately , my chromebook that i purchased through best buy was dead on arrival ."], "output": "[['chromebook', 'laptop general', 'negative', 'dead']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the problem is that it never charged ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the cable functions just fine ."], "output": "[['cable', 'power_supply operation_performance', 'neutral', 'fine']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the chromebook is simply dead from what i can tell ."], "output": "[['chromebook', 'laptop general', 'negative', 'dead']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["as you can see , the cable is active , but the ` ` power led ` ` has never had any color ."], "output": "[['cable', 'power_supply operation_performance', 'neutral', 'active'], ['power led', 'power_supply quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very disappointing , samsung !"], "output": "[['samsung', 'company general', 'negative', 'disappointing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i really needed this product for work and had big plans for using it ' s features / versatility ."], "output": "[['product', 'laptop operation_performance', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["all i got was a fancy 2lb metal slab that can only be used to swat flies ."], "output": "[['metal slab', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["apparently there is some optimizations that google has done with the op1 and pixel that allow what is called instant ink ."], "output": "[['google', 'company operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have also noticed the pro seems to run hotter and have a noticeably shorter battery life ."], "output": "[['pro', 'fans&cooling operation_performance', 'negative', 'hotter'], ['battery life', 'battery operation_performance', 'negative', 'shorter']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["initially the product lived up to the expectations ."], "output": "[['product', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["there were challenges with the chromebook specific apps and the google play store apps worked sometimes , but most of them had the size issue where they are only the size of a phone screen ."], "output": "[['chromebook specific apps', 'software design_features', 'negative', 'NULL'], ['google play store apps', 'software design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["reliability is completely terrible - i use it for work but definitely wouldn ' t buy for personal use as it ' s had to be repaired and replaced twice already - once for just momentarily stopping and then for the touch screen not working with hand input ( worked for the pen which btw is kind of useless except in a few android apps as the handwriting recognition is limited to a lame popup panel - there ' s no integration ) ."], "output": "[['NULL', 'laptop quality', 'negative', 'terrible'], ['touch screen', 'display operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["also the case design is sort of rounded at both sides - a minor issue but it makes the device pop open in my purse and detracts from the ` ` feel ` ` of the device by making it feel a lot thicker than it actually is ."], "output": "[['case', 'hardware design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["horrible , purchased directly from google , dead pixel on arrival , note feature did not pick up stylus and bluetooth rarely worked ."], "output": "[['NULL', 'laptop general', 'negative', 'horrible'], ['pixel', 'display quality', 'negative', 'dead'], ['stylus', 'hardware general', 'negative', 'NULL'], ['bluetooth', 'ports operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["sent it in , arrived back in an inadequate box ( i shipped it in the oroginal with protective foam came back in the box from samsung w / o any protection ) and 3 days after i recieved the item back the stylus fell apart ."], "output": "[['stylus', 'hardware quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["customer service told me that i ' d have to buy a new one , item is still under warranty ."], "output": "[['customer service', 'support general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i picked up the stylus and it fell apart , no drops no damage ."], "output": "[['stylus', 'hardware quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["samsung makes garbage and treats their customers with no respect ."], "output": "[['samsung', 'company general', 'negative', 'garbage']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["never again will i buy samsung products and thats what i ' d suggest here ."], "output": "[['samsung products', 'company general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["no caps lock on the keyboard ."], "output": "[['keyboard', 'keyboard design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["virtually every single app for it is compromised in some manner ."], "output": "[['app', 'software operation_performance', 'negative', 'compromised']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["apps have to close and be reopened to get them to a somewhat decent size ."], "output": "[['apps', 'software usability', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["chrome os is not matured in any way ."], "output": "[['chrome os', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it calls itself a computer , but it ' s really not ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it fancies itself a convertible notebook / app consuming functional tablet , but it is not ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["for example , many of the apps currently available on the play store which work perfectly well on your android phone or tablet do not work in chromeos ."], "output": "[['chromeos', 'os usability', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["google is very concerned about arc to chromeos connections for security , etc etc ."], "output": "[['google', 'company general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the rub is that chromeos itself is so limited in functionality that it is probably the most secure os platform out there ."], "output": "[['chromeos', 'os general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["apps are glitchy ."], "output": "[['apps', 'software usability', 'negative', 'glitchy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["samsung sent me a new stylus free of charge and free of hassle , which was nice of them because the top of the oem stylus popped off one day and could not be reassembled ."], "output": "[['stylus', 'hardware general', 'positive', 'nice'], ['oem stylus', 'hardware general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["certain apps ( especially flash based apps ) will get the machine very hot ."], "output": "[['apps', 'software operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the bottom plastic piece - this is not a unibody machine - will be too hot to rest on bare skin ."], "output": "[['plastic piece', 'hardware design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i can not explain why , except to think that there is something wrong with the voltage wiring and the left channel is exceeding design capacity ."], "output": "[['voltage', 'ports operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the left charging port does not always make full contact with the charger and so sometimes the usb c charger is plugged in and slightly awry and therefore not charging ."], "output": "[['charging port', 'ports operation_performance', 'negative', 'NULL'], ['usb c', 'ports operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the touchpad doesn ' t have clickable function in the top right or top left corners which is becomes annoying for certain tasks ."], "output": "[['touchpad', 'hardware design_features', 'negative', 'annoying']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["many of acer ' s chromebooks have , historically , been hampered by their poor displays ."], "output": "[['displays', 'display general', 'negative', 'poor']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the chromebook 14 has a 1080p ips display with fantastic viewing angles and excellent brightness ."], "output": "[['display', 'display design_features', 'positive', 'fantastic'], ['display', 'display design_features', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i keep it at about 60 - 70 % and it looks fantastic ."], "output": "[['NULL', 'display operation_performance', 'positive', 'fantastic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it feels wonderful to finally say that about an acer display ."], "output": "[['acer display', 'display design_features', 'positive', 'wonderful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["a more recent trend among chrome os devices is the inclusion of 4gb of ram and 32gb of storage , instead of the 2gb / 16gb to which we ' ve become accustomed ."], "output": "[['chrome os devices', 'memory operation_performance', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the extra ram , however , is great for everyone , as it makes this device more capable of running many tabs , or handling higher demand tasks like streaming content , without tabs crashing out or caching / reloading ."], "output": "[['ram', 'memory operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the screen is great , for both media consumption and general computing / web browsing ; it offers a nice amount of local storage and solid performance via the intel processor and 4gb of ram , and it looks sharp , thanks to modern design queues and aluminum build materials ."], "output": "[['screen', 'display general', 'positive', 'great'], ['NULL', 'laptop design_features', 'positive', 'sharp'], ['storage', 'memory operation_performance', 'positive', 'nice'], ['intel processor', 'cpu operation_performance', 'positive', 'solid']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it also has much better performance , including an easily upgraded m ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the acer is very nice , to be sure , especially considering the price or $ 299 ."], "output": "[['acer', 'laptop price', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it also has pretty decent i / o with two usb 3 ."], "output": "[['i / o', 'ports connectivity', 'positive', 'decent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i can ' t help but feel that people are also slightly exaggerating the performance offered by the n3160 ."], "output": "[['n3160', 'cpu operation_performance', 'negative', 'exaggerating']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is solid , and does a decent job rendering pages , and paired with the extra ram here , it adequately handles streaming content in the background - such as youtube or spotify - and still maintains a decent browsing experience across eight to ten additional tabs ;"], "output": "[['NULL', 'laptop operation_performance', 'positive', 'solid'], ['NULL', 'laptop operation_performance', 'positive', 'decent'], ['NULL', 'laptop operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["none of this means the acer chromebook 14 is a bad chromebook ; on the contrary , it is an excellent chromebook !"], "output": "[['acer chromebook 14', 'laptop general', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i led with those first five points for a reason : being able to purchase a decently - performing chromebook with aluminum build , a 1080p ips display , 4gb of ram , 32gb of local storage , and an intel quad - core processor for $ 299 is basically what the entirely of the chromeos subreddit has been asking for over the past few years ."], "output": "[['NULL', 'laptop miscellaneous', 'positive', 'decently']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["5 years old or matched by chromebooks at half the price , the absence of a touchscreen upgrade , or the use of slower emmc storage instead of a real m ."], "output": "[['emmc storage', 'memory operation_performance', 'negative', 'slower']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["these are all valid points that probably make this more of a 4 ."], "output": "[['NULL', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["acer has identified the chromebook market gaps and solved almost everything in this extremely solid offering - a thin , metal , almost mac - like build , armed with 4gb of ram , a full 14 ` ` hd display and a quad - core cpu ."], "output": "[['acer', 'company general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["even the touchpad and keyboard perform as well as the very best chromebooks currently available ."], "output": "[['touchpad', 'keyboard operation_performance', 'positive', 'best'], ['keyboard', 'keyboard operation_performance', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["anything that runs in a chrome browser on a desktop or laptop will run on a chromebook , and there are novel app - like extensions for almost anything else ( calculator apps , command lines , etc . )"], "output": "[['chromebook', 'laptop usability', 'positive', 'NULL'], ['app - like extensions', 'software usability', 'positive', 'novel']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["for an office , you can give everyone a chromebook and their environment becomes available on login and disappears when they sign - out , and the machines can also be remotely managed if you ' re a google apps customer ."], "output": "[['chromebook', 'laptop usability', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["for students and road warriors , the extended battery life and automatic cloud integration makes sync - ing a breeze , especially if you hotspot from your phone ."], "output": "[['battery life', 'battery operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["from the camera and audio quality through to the build styling , every aspect of this pc has been meticulously considered and it represents the best chromebook that has been delivered to date"], "output": "[['chromebook', 'laptop general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard on this unit is actually quite nice ."], "output": "[['keyboard', 'keyboard general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the hardware specs on this are very nice compared to other offerings : 4g ram , 32g storage , quad - core processor , etc ."], "output": "[['hardware specs', 'hardware general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the screen is beautiful , and the speakers are very nice ."], "output": "[['screen', 'display design_features', 'positive', 'beautiful'], ['speakers', 'multimedia_devices general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the mouse area is responsive , and has a nice feel to it ."], "output": "[['mouse area', 'keyboard operation_performance', 'positive', 'responsive'], ['mouse area', 'keyboard operation_performance', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the overall unit has a slim profile , and is light weight ."], "output": "[['unit', 'laptop design_features', 'positive', 'slim'], ['unit', 'laptop design_features', 'positive', 'light']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["thus far , i am very happy with the purchase , and highly recommend it ."], "output": "[['NULL', 'laptop general', 'positive', 'happy'], ['NULL', 'laptop general', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i think biggest reason i like it is that it ' s sturdy and i don ' t mind throwing it in and out of my backpack whereas with a $ 1000 mb air i might be a whole lot more careful in how i handle it ."], "output": "[['NULL', 'laptop quality', 'positive', 'like'], ['NULL', 'laptop quality', 'positive', 'sturdy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["hope to continue to get many more years of use out of it !"], "output": "[['NULL', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["bought this for someone else , can ' t believe how good it is ."], "output": "[['NULL', 'laptop general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this thing is good ."], "output": "[['NULL', 'laptop general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is one of the best purchases i have made in years ."], "output": "[['NULL', 'laptop general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["since i already do all of my work in google drive , this is perfect for me ."], "output": "[['NULL', 'laptop general', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s the best solution i ' ve used for collaborating on a budget ."], "output": "[['NULL', 'laptop price', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["however , know what you ' re buying before you get a chromebook : it operates on a chrome operating system and you can ' t install apps or games on it like world of warcraft ."], "output": "[['chromebook', 'laptop usability', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["screen quality is perfect and matte so no annoying glare !"], "output": "[['screen quality', 'display quality', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keys on the keyboard are sunk in a little too low to accommodate for the sleek / thin profile ."], "output": "[['keys on the keyboard are', 'keyboard design_features', 'negative', 'low']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it take a bit of getting used to ."], "output": "[['NULL', 'keyboard usability', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["first off the chromebook itself is excellent , one of the few budget models with 1080p and a long battery life ."], "output": "[['chromebook', 'laptop general', 'positive', 'excellent'], ['battery life', 'battery operation_performance', 'positive', 'long']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it arrived in ` ` as new ` ` condition despite being a refurbished ( likely a return ) ."], "output": "[['NULL', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is a steal at $ 179 and worth a 5 star rating for the previous reasons ."], "output": "[['NULL', 'laptop price', 'positive', 'worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["as other reviews have mentioned - its a bit heavier than expected for such a slim frame ."], "output": "[['NULL', 'laptop design_features', 'negative', 'heavier']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall , i ' m definitely satisfied , i bought it wanting a well built laptop on the larger end ( which is why i ultimately went with the 14 inch ) with a solid material / frame ."], "output": "[['NULL', 'laptop general', 'positive', 'satisfied']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["build quality seems excellent ."], "output": "[['build quality', 'laptop quality', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i purchased mine in the gold color and its beautiful ."], "output": "[['NULL', 'laptop design_features', 'positive', 'beautiful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["beautiful ips display ."], "output": "[['ips display', 'display design_features', 'positive', 'beautiful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m running it at 2500x1400 resolution extremely thin and lightweight ."], "output": "[['resolution', 'display design_features', 'positive', 'thin'], ['resolution', 'display design_features', 'positive', 'lightweight']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["now it kind of feels a little bit like windows but still different ."], "output": "[['NULL', 'os design_features', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it on the developer channel and have full access to the play store ."], "output": "[['NULL', 'laptop usability', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["update : device now has full support for the play store on the beta channel ."], "output": "[['device', 'laptop usability', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this makes this chromebook closer to a real computer ."], "output": "[['chromebook', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the system is quick , and used for browsing , and basic notes ."], "output": "[['system', 'os operation_performance', 'positive', 'quick']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard gives a satisfying audible response to being used , and the mouse is nice ."], "output": "[['keyboard', 'keyboard design_features', 'positive', 'satisfying'], ['mouse', 'mouse general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["that machine couldn ' t handle all the tabs i wanted to keep open , so after much research , i jumped into this acer ."], "output": "[['acer', 'laptop operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s great in many ways ; the build is solid , the screen is good ( and the resolution is insane ) , and the keyboard is decent , though only time will tell if it ' s as diet coke - resistant as the samsung ' s keys are ."], "output": "[['NULL', 'laptop general', 'positive', 'great'], ['build', 'laptop quality', 'positive', 'solid'], ['screen', 'display general', 'positive', 'good'], ['resolution', 'display design_features', 'positive', 'insane'], ['keyboard', 'keyboard design_features', 'positive', 'decent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["one thing keeps it from getting a five - star rave from me ."], "output": "[['NULL', 'laptop design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is very light weight ."], "output": "[['NULL', 'laptop quality', 'positive', 'light']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["more importantly i appreciate the uncanny speed to boot up or wake up ."], "output": "[['speed', 'os operation_performance', 'positive', 'appreciate']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["never has it run out of power while on battery ."], "output": "[['battery', 'battery operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but they didn ' t make it $ 300 by wasting money , there are compromises ."], "output": "[['NULL', 'laptop price', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the 1080p display is very sharp ."], "output": "[['1080p display', 'display operation_performance', 'positive', 'sharp']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["you can watch 1080p video on it and it looks great ."], "output": "[['NULL', 'display operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i find the picture more watchable than my tv ."], "output": "[['NULL', 'display operation_performance', 'positive', 'watchable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the audio is great ."], "output": "[['audio', 'multimedia_devices general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard is good ."], "output": "[['keyboard', 'keyboard general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but the 4 gb of ram makes the things you use a chromebook for work without delay ."], "output": "[['ram', 'memory operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["where they didn ' t sacrifice is on build quality ."], "output": "[['build quality', 'laptop quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great device for browsing the internet ."], "output": "[['device', 'laptop miscellaneous', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["hulu app is not supported for this computer so you will need to use the browser ."], "output": "[['computer', 'laptop design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard is difficult to get used to due to the placement and spacing of the keys compared to a regular keyboard ."], "output": "[['keyboard', 'keyboard design_features', 'negative', 'difficult']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the battery life has started to go down after a year of solid use ( still quite good ) , but the quality screen and chromeos make it worth it ."], "output": "[['battery life', 'battery operation_performance', 'positive', 'solid'], ['battery life', 'battery operation_performance', 'positive', 'good'], ['screen', 'display quality', 'positive', 'quality'], ['screen', 'display quality', 'positive', 'worth'], ['chromeos', 'os quality', 'positive', 'quality'], ['chromeos', 'os quality', 'positive', 'worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["acer put together a solid package ."], "output": "[['acer', 'company quality', 'positive', 'solid']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i still had some of those kinds of mishaps with the chromebook - - but not nearly as many ."], "output": "[['chromebook', 'laptop general', 'negative', 'mishaps']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the machine is great for streaming videos - - my wife and i use it regularly to watch things on amazon prime - - and the battery last quite a while ."], "output": "[['machine', 'laptop operation_performance', 'positive', 'great'], ['battery', 'battery operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["he wanted something that could browse the internet fast - and this chromebook does just that !"], "output": "[['chromebook', 'laptop operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i love how slim the design is - will fit easily into my backpack : ) highly recommend for everyday or school use !"], "output": "[['design', 'laptop design_features', 'positive', 'love'], ['design', 'laptop design_features', 'positive', 'slim'], ['NULL', 'laptop general', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve kept an eye on chromebooks for the last couple of years as a possible option for a low - cost laptop ."], "output": "[['laptop', 'laptop price', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the chrome rdp app also works well , connecting to my windows machines with good performance , and i can access files on my nas using network file shares after using the chromebook for the last couple of weeks , i ' d confidently recommend one for everything but gaming and special purpose applications ."], "output": "[['chrome rdp app', 'software operation_performance', 'positive', 'well'], ['chrome rdp app', 'software operation_performance', 'positive', 'good'], ['chromebook', 'laptop miscellaneous', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the quality of this unit exceeds my expectations , and if feels solidly built while still very thin and light ."], "output": "[['unit', 'laptop quality', 'positive', 'solidly'], ['unit', 'laptop design_features', 'positive', 'thin'], ['unit', 'laptop design_features', 'positive', 'light']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard and track pad are both quite good , although i always use a real mouse ."], "output": "[['keyboard', 'keyboard general', 'positive', 'good'], ['track pad', 'keyboard general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["battery life is excellent , and i can get several days use before needing to plug in ."], "output": "[['battery life', 'battery operation_performance', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["with a solid cpu and 4gb of memory i can run a dozen or more open tabs with good performance ."], "output": "[['cpu', 'cpu operation_performance', 'positive', 'solid'], ['cpu', 'cpu operation_performance', 'positive', 'good'], ['memory', 'memory operation_performance', 'positive', 'solid'], ['memory', 'memory operation_performance', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["saving the best for last , the full hd screen is one of the primary reasons i chose this chromebook , and it is wonderful ."], "output": "[['hd screen', 'display operation_performance', 'positive', 'wonderful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["to me , this chromebook is a great value ."], "output": "[['chromebook', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this acer chromebook 14 is by far the best chromebook 300 dollars can buy ."], "output": "[['acer chromebook 14', 'laptop price', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["with chrome remote desktop i am able to play turn - based video games such as hearthstone or civ 5 while miles away from the computer actually running them ."], "output": "[['chrome remote desktop', 'software usability', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is also very gnu + linux friendly if you want to replace the os entirely ."], "output": "[['NULL', 'laptop usability', 'positive', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall this chromebook is perfect for my current use - case and would recommend it to anyone in the chromebook market with 300 dollars to spare ."], "output": "[['chromebook', 'laptop price', 'positive', 'perfect'], ['chromebook', 'laptop price', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it does not interface well with any printer i could find as nothing would download for a driver because it needs to be a mac or windows ."], "output": "[['NULL', 'os usability', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["you can ' t use it to edit a word document ."], "output": "[['NULL', 'os usability', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i could not be happier with this computer because i am not the best person with technology ."], "output": "[['computer', 'laptop usability', 'positive', 'happier']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i don ' t know how to use a lot of computers but this is simple and easy to use ."], "output": "[['NULL', 'laptop usability', 'positive', 'simple'], ['NULL', 'laptop usability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very easy to set up and light to carry ."], "output": "[['set up', 'laptop usability', 'positive', 'easy'], ['NULL', 'laptop portability', 'positive', 'light']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is an amazing computer ."], "output": "[['computer', 'laptop general', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["however , having been out of school for several years now , the viability of purchasing a mac ( particularly as they are increasing in price ) no longer seems viable ."], "output": "[['NULL', 'laptop price', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["first of all , the battery life on it is insane ."], "output": "[['battery life', 'battery operation_performance', 'positive', 'insane']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["first , it is hard to run more than 10 tabs open at any given time ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'hard']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["first time users might have a hard time using the keyboard ( some keys like caps lock , pagedown , pageup , delete , home etc are missing , browse the internet to get the equivalent ones ) ."], "output": "[['keyboard', 'keyboard design_features', 'negative', 'hard']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the build quality is good ( all aluminum body ) ."], "output": "[['build quality', 'laptop quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the boot up is fast ."], "output": "[['boot up', 'os operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["camera is not that good , so video call on mobile phone is better ."], "output": "[['camera', 'multimedia_devices general', 'neutral', 'not that good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this chromebook is easy to use , boot up quickly but it does occasionally crash and a push of the on / off button will quickly reset it ."], "output": "[['chromebook', 'laptop usability', 'positive', 'easy'], ['boot up', 'os operation_performance', 'positive', 'quickly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the chromebook is quite ideal for those who use their computer mostly for surfing the internet ."], "output": "[['chromebook', 'laptop miscellaneous', 'positive', 'ideal']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we actually returned the first acer chromebook 14 , we got because the screen would blink randomly and go off ."], "output": "[['screen', 'display quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["as for actual device it is completely gorgeous and ( now ) works flawlessly ."], "output": "[['device', 'laptop operation_performance', 'positive', 'gorgeous'], ['device', 'laptop operation_performance', 'positive', 'flawlessly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["he was ecstatic at the power , the screen , the layout - pretty much everything ."], "output": "[['power', 'power_supply general', 'positive', 'ecstatic'], ['screen', 'display general', 'positive', 'ecstatic'], ['NULL', 'laptop general', 'positive', 'ecstatic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["while the device is awesome , and there are lots of other reviews that will tell you exactly how awesome , i am just so impressed by how amazon ' s customer service handled the issue ."], "output": "[['device', 'laptop general', 'positive', 'awesome'], [\"amazon ' s customer service\", 'support general', 'positive', 'impressed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["guaranteed excellent customer service !"], "output": "[['customer service', 'support general', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["keep in mind , you have to pay $ for ms office where google docs is free ."], "output": "[['google docs', 'software price', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall , the way i see it , i ' m getting a big screen hd android galaxy tablet with a keyboard for the price of a tablet ."], "output": "[['tablet', 'laptop price', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this acer is a web surfer that ' s easy to travel with ."], "output": "[['acer', 'laptop usability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["first of all , this is a physically beautiful machine ."], "output": "[['machine', 'laptop design_features', 'positive', 'beautiful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard is a delight with large , nearly flush , keys set to just the right level of resistance and sensitivity ."], "output": "[['keyboard', 'keyboard design_features', 'positive', 'large']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["love the style , aluminum shell , 14 inches monitor , and decent resolution ."], "output": "[['style', 'laptop design_features', 'positive', 'love'], ['aluminum shell', 'laptop design_features', 'positive', 'love'], ['14 inches monitor', 'display general', 'positive', 'love'], ['resolution', 'display general', 'positive', 'decent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this little chromebook is very nice and is pretty much what i expected ."], "output": "[['chromebook', 'laptop general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is my first chromebook purchase and i have to say that i ' m enjoying the speed and simplicity of it ."], "output": "[['chromebook', 'laptop operation_performance', 'positive', 'enjoying']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["in summary , it looks great and performs very well ."], "output": "[['NULL', 'laptop design_features', 'positive', 'great'], ['NULL', 'laptop operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["battery life has been very good ."], "output": "[['battery life', 'battery general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["acer makes a good unit too ."], "output": "[['acer', 'company general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i purchased this item 7 months ago and i love it ."], "output": "[['item', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i purchased this chromebook strictly for writing / editing ( i ' m an independent and published author ) and web browsing ."], "output": "[['chromebook', 'laptop usability', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the aluminum casing adds to the durable feel of the unit and gives it a nice attractive look as well ."], "output": "[['aluminum casing', 'laptop design_features', 'positive', 'durable'], ['unit', 'laptop design_features', 'positive', 'nice'], ['unit', 'laptop design_features', 'positive', 'attractive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the only thing i did not like about the design is the fact that the speakers are on the bottom of the unit ."], "output": "[['speakers', 'multimedia_devices design_features', 'negative', 'not like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s beautiful and i love it , but i think i have to send it back ."], "output": "[['NULL', 'laptop design_features', 'positive', 'beautiful'], ['NULL', 'laptop design_features', 'positive', 'love'], ['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["losing the function keys for a toucher was a deal breaker ."], "output": "[['function keys', 'keyboard design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the base model went up in price $ 400 , which excludes any performance benefits ."], "output": "[['base model', 'laptop price', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the only real upgrade for the new one , before adding on options is faster memory ."], "output": "[['memory', 'memory operation_performance', 'positive', 'faster']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i run windows and linux vms fairly regularly and while i could run them on a comparable windows system , adding windows systems to an already portly windows system has never worked out well for me , so while disappointed in the new upgrades , this 2015 model still rocks vms and does all i need it too for far less $ $ $ ."], "output": "[['the new upgrades', 'software usability', 'negative', 'disappointed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["while usb - c is cool , a bag full of dongles is not ."], "output": "[['usb - c', 'ports general', 'positive', 'cool']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["with real function keys , i don ' t worry about one vendor or another not upgrading fast enough and losing virtual function keys , so this model is golden ."], "output": "[['model', 'laptop general', 'positive', 'golden']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["anyway , if you are contemplating buying one of these and they are still available , do it ."], "output": "[['NULL', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["everything from the power cord to the computer looks brand new ."], "output": "[['power cord', 'power_supply design_features', 'positive', 'new'], ['computer', 'laptop design_features', 'positive', 'new']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["in fact , the only way you know it ' s probably not new is because it didn ' t arrive in an apple original box ; it arrived wrapped ( neat and tight ) in bubble wrap in an amazon box ."], "output": "[['NULL', 'shipping general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["with the recent apple upgrade to macbook pros ( the touch of genius bar or whatever ) , the price has jumped ."], "output": "[['macbook pros', 'laptop price', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i can ' t justify paying that kind of money for some ridiculous upgrade ."], "output": "[['NULL', 'laptop price', 'negative', 'ridiculous']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["happy i got a great machine for half the cost !"], "output": "[['machine', 'laptop price', 'positive', 'happy'], ['machine', 'laptop price', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m seeing a lot of reviews saying they received the wrong item ."], "output": "[['item', 'shipping general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the one i purchased wasn ' t the cheapest but for peace of mind i gladly paid it ."], "output": "[['NULL', 'laptop general', 'positive', 'gladly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- new radeon graphics card ( finally ! )"], "output": "[['radeon graphics card', 'graphics general', 'positive', 'new']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- retina display is actually sharper ."], "output": "[['retina display', 'display design_features', 'positive', 'sharper']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i thought that it wouldn ' t make any difference , but it does on games"], "output": "[['NULL', 'display operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- the computer is 1 pound ( approx ."], "output": "[['computer', 'laptop design_features', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["that is awesome ."], "output": "[['NULL', 'hard_disc general', 'positive', 'awesome']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["super fast boot ."], "output": "[['boot', 'os design_features', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["when the computer is working hard , it doesn ' t burn my lap anymore ( although i do feel some hot air flowing through my fingertips , when i am typing , but i am okay with that ) ."], "output": "[['NULL', 'fans&cooling general', 'positive', 'okay']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the plug keeps unplugging ."], "output": "[['plug', 'power_supply general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["with magsafe 2 , even the gentlest pull makes the plug to disconnect , which is very annoying for me ."], "output": "[['plug', 'power_supply general', 'negative', 'annoying']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- memory is not easily upgradable anymore ."], "output": "[['memory', 'memory general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- ssd ( solid state drive ) is not easily upgradable ."], "output": "[['NULL', 'hard_disc general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- no ethernet connection and firewire 800 port ."], "output": "[['firewire 800 port', 'ports general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- no audio in port ."], "output": "[['audio in port', 'ports general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["now audio in and out are combined in just one port ."], "output": "[['port', 'ports design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i don ' t like this ."], "output": "[['NULL', 'ports general', 'negative', \"' t like\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s very expensive for such a simple device ."], "output": "[['device', 'multimedia_devices price', 'negative', 'expensive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- the screen is harder to clean ."], "output": "[['screen', 'display design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- keyboard keys have a shorter touch ."], "output": "[['keyboard keys', 'keyboard design_features', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m okay with that given that the body is thinner ."], "output": "[['body', 'laptop design_features', 'positive', 'thinner']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["in the beginning i felt a little weird about this trackpad ."], "output": "[['trackpad', 'hardware general', 'negative', 'weird']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall , i think it is a great purchase ."], "output": "[['NULL', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["with how slim this thing is i really don ' t see a need for the macbook air line ."], "output": "[['NULL', 'laptop design_features', 'positive', 'slim']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the display is fantastic on this laptop ."], "output": "[['display', 'display general', 'positive', 'fantastic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["battery life : i haven ' t had the laptop for too long but easily get 8 hours or more on a charge ."], "output": "[['battery life', 'battery general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard is ok ."], "output": "[['keyboard', 'keyboard general', 'neutral', 'ok']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["other than that , the key sizes are good and the backlighting works just fine ."], "output": "[['key', 'keyboard design_features', 'positive', 'good'], ['backlighting', 'keyboard operation_performance', 'positive', 'fine']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the trackpad has gotten better with this new model ."], "output": "[['trackpad', 'hardware general', 'positive', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the click is now provided by a haptic engine and provides more functionality ."], "output": "[['click', 'hardware design_features', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the thing is fantastic ."], "output": "[['NULL', 'hardware general', 'positive', 'fantastic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is easily the best trackpad i have ever used ."], "output": "[['trackpad', 'keyboard general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["apps open instantly and the ac wifi performance is very nice ."], "output": "[['apps', 'software operation_performance', 'positive', 'instantly'], ['ac wifi', 'ports operation_performance', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["you can even run time machine backups while the computer is sleeping now ."], "output": "[['machine backups', 'software usability', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m not sure when this feature was introduced , but it is very welcome ."], "output": "[['feature', 'software general', 'positive', 'welcome']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the os is easy to use , the app store lacks many apps that i use , so i have to go directly to the developers site to download them ."], "output": "[['os', 'os usability', 'positive', 'easy'], ['app store', 'software general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have not messed with the continuity feature much , but it is nice having the favorites and open tabs sync from my laptop to my iphone ."], "output": "[['continuity feature', 'software design_features', 'positive', 'nice'], ['continuity feature', 'software design_features', 'positive', 'favorites']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the current model only has two , which can be problematic if you hook up an external hard drive and an external bluray drive ( which requires two ports ) at the same time ."], "output": "[['model', 'laptop design_features', 'negative', 'problematic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["sure , another generation back was arguably better , but i find this computer to be adequate to my needs right now ( though it is a disappointment that i can ' t upgrade the ram , which definitely limits the lifetime of how long this product will last ) ."], "output": "[['computer', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s nice and lightweight , the sd port is useful , and it ' s powerful enough for me to do fairly layer intensive graphic design work in photoshop and basic grading in lightroom ."], "output": "[['NULL', 'laptop general', 'positive', 'nice'], ['NULL', 'laptop operation_performance', 'positive', 'powerful'], ['NULL', 'laptop design_features', 'positive', 'lightweight'], ['sd port', 'ports usability', 'positive', 'useful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keys feel fantastic to type on ."], "output": "[['keys', 'keyboard operation_performance', 'positive', 'fantastic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the overall design is sleek and pleasing to look at and hold ."], "output": "[['design', 'laptop design_features', 'positive', 'sleek'], ['design', 'laptop design_features', 'positive', 'pleasing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the force touch trackpad works great ."], "output": "[['force touch trackpad', 'hardware general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall , i feel this is the best laptop i ' ve ever purchased or used ."], "output": "[['laptop', 'laptop general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it feels sturdy and reliable , both hardware and software - wise ."], "output": "[['hardware', 'hardware general', 'positive', 'sturdy'], ['hardware', 'hardware general', 'positive', 'reliable'], ['software', 'software general', 'positive', 'sturdy'], ['software', 'software general', 'positive', 'reliable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i waited for a while before writing a review about this product ."], "output": "[['product', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["after a couple of months of using this product , i finally could say that it ' s the best thing that i have ever bought up to this moment ."], "output": "[['product', 'laptop general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["regardless to the fact that the outside box was damaged , the inside box was fine ."], "output": "[['outside box', 'shipping general', 'negative', 'damaged'], ['inside box', 'shipping general', 'positive', 'fine']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i use this laptop every single day for at least 2 hours and believe me it ' s just great ."], "output": "[['laptop', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["therefore , my advice to you if you ' re a student and you need a laptop for school , this laptop is the best choice for you ."], "output": "[['laptop', 'laptop general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["and if you ' re concerned about the system , i would tell you that as a person who has never used a macbook before actually buying it , do not worry you will get used to it in no time as i did ."], "output": "[['system', 'os usability', 'positive', 'not worry']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m glad i got this ."], "output": "[['NULL', 'laptop general', 'positive', 'glad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["amazon warehouse marked this as ` ` like new ` ` but upon receiving , this unit was brand new ."], "output": "[['this unit', 'laptop design_features', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i am very happy with this purchase especially for the price ."], "output": "[['NULL', 'laptop price', 'positive', 'happy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["at the time of this posting , this model was going only for 1800 for the 512gb with a dedicated video card ."], "output": "[['model', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["win for the ports , win for the price , and win for a brand new unopened macbook ."], "output": "[['ports', 'ports general', 'positive', 'NULL'], ['NULL', 'laptop price', 'positive', 'NULL'], ['macbook', 'laptop design_features', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["love love love this laptop !"], "output": "[['laptop', 'laptop general', 'positive', 'love'], ['laptop', 'laptop general', 'positive', 'love'], ['laptop', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the display is excellent !"], "output": "[['display', 'display general', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["you can actually take a picture of this screen and not have near the amount of wavy lines that you used to get ."], "output": "[['screen', 'display operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i really like the fact that when it boots up , it ' s up ."], "output": "[['boots up', 'laptop operation_performance', 'positive', 'like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this thing boots up , you log in and you ' re ready to go !"], "output": "[['boots up', 'laptop operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my review is based on the fact that i got a pretty good value on this when it was selling for $ 200 less than normal ."], "output": "[['NULL', 'laptop price', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m probably a bit biased on macs since i ' m a professional graphic designer , and it ' s just the industry standard ."], "output": "[['NULL', 'laptop general', 'neutral', 'biased']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if you ' re considering a switch from windows based pcs to apple computers , i ' d probably recommend that you look at what you ' re going to use it for ."], "output": "[['apple computers', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["for some of us , even though they are more expensive , they still offer the better value ."], "output": "[['NULL', 'laptop price', 'negative', 'expensive'], ['NULL', 'laptop quality', 'positive', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["fantastic computer !"], "output": "[['computer', 'laptop general', 'positive', 'fantastic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i was due to upgrade and this product seemed perfect for me ."], "output": "[['product', 'laptop general', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have had three macbook pro ' s and all have been excellent ."], "output": "[[\"macbook pro ' s\", 'laptop general', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the key board is one of the best i ' ve ever typed on ."], "output": "[['key board', 'keyboard operation_performance', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is my first ever macbook and i will never go back ."], "output": "[['macbook', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i think the mbp ticks off more of the nice - to - have boxes for me than the xps13 overall ."], "output": "[['mbp', 'laptop design_features', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the mbp does not run as hot as my old white mb did ."], "output": "[['mbp', 'laptop quality', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the battery life is really pretty comparable ( slightly more with the mbp , and i can obtain info on app energy usage a bit easier imo ) ."], "output": "[['battery life', 'battery general', 'positive', 'comparable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the trackpad is the ultimate difference - maker for me ."], "output": "[['trackpad', 'keyboard general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the mbp trackpad is best in class and if you are not using a mouse , this makes a huge difference ."], "output": "[['mbp trackpad', 'keyboard general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the mbp 13 ` ` is plenty mobile ."], "output": "[['NULL', 'laptop portability', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the one drawback is that it uses more energy than most apps on the mbp ( especially word , not so much with excel or ppt ) , so i ' ve been using google docs / drive in safari ( chrome is also an energy hog ) if i ' m away from a power source and the task is light enough ."], "output": "[['apps', 'software operation_performance', 'negative', 'drawback'], ['google docs / drive', 'software general', 'neutral', 'NULL'], ['chrome', 'software operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["adobe apps are also power hogs , but that is to be expected ."], "output": "[['adobe apps', 'software operation_performance', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i also feel like apple hides too much under the hood from the user , but i suppose you can still work around that if you are so inclined ."], "output": "[['apple', 'company general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["an unexpected benefit for me has been the iphone / mbp integration ."], "output": "[['iphone / mbp integration', 'laptop design_features', 'positive', 'benefit']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i love the airdrop and receiving imessages on my mbp ( although it can cut into productivity if you ' re not careful ) ."], "output": "[['airdrop', 'software operation_performance', 'positive', 'love'], ['NULL', 'software general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall , it ' s a great machine ."], "output": "[['machine', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' ll be interesting to see what the revisions are in 2016 , but i was worried about the shallow keys of the new macbook making their way to the mbp and the loss of port options with a new revision , so i am very happy to have this now ."], "output": "[['NULL', 'laptop general', 'positive', 'happy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it works great !"], "output": "[['NULL', 'laptop operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i updated it to high sierra and it ' s running smoothly so far ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'smoothly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["battery life is good , screen looks fine , and all of the keys and ports are functional ."], "output": "[['battery life', 'battery general', 'positive', 'good'], ['screen', 'display general', 'positive', 'fine'], ['keys', 'keyboard operation_performance', 'positive', 'functional'], ['ports', 'ports operation_performance', 'positive', 'functional']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the only thing i didn ' t like is the big dent on the front of the lid ."], "output": "[['dent', 'laptop design_features', 'negative', \"' t like\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this was a outstanding upgrade from the early 2013 650m model ."], "output": "[['NULL', 'laptop design_features', 'positive', 'outstanding']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["as far as gaming performance , the m370x does quite well ."], "output": "[['m370x', 'graphics operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i predict based on tests performed by other users on youtube with battlefield 4 ( frostbyte 3 engine ) that this machine will perform well with the impending starwars battlefront ( also frostbyte 3 ) ."], "output": "[['machine', 'laptop operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["with the windows 10 / directx 12 improvements , frostbite 3 games will do very well on this machine at 1050p graphics / medium / low with the new starwars game ."], "output": "[['machine', 'laptop operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["nothing beats the quality of the mac os x as well , which is one of the main reasons for this purchase ."], "output": "[['mac os x', 'os general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but i fed up with the price it cost to upgrade the product as well as the software ."], "output": "[['NULL', 'laptop price', 'negative', 'fed up']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ventured back to the macbook pro world and purchased this model after much research ."], "output": "[['model', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["one of the first things i noticed after firing up this device was how quiet and effortlessly it performs all tasks that i ask of it ."], "output": "[['device', 'laptop operation_performance', 'positive', 'quiet'], ['device', 'laptop operation_performance', 'positive', 'effortlessly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- love the trackpad ."], "output": "[['trackpad', 'keyboard general', 'positive', 'trackpad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- performance and processing speed are bar none"], "output": "[['NULL', 'cpu operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- retina display is nice but not mind blowing as other have suggested"], "output": "[['retina display', 'display general', 'neutral', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["all - in - all , i have been extremely satisfied so far with this purchase and am enjoying my not - so - cutting edge purchase ."], "output": "[['NULL', 'laptop general', 'positive', 'satisfied'], ['NULL', 'laptop general', 'positive', 'enjoying']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the screen is crisp and clear , easy to set up ."], "output": "[['screen', 'display design_features', 'positive', 'crisp'], ['screen', 'display design_features', 'positive', 'clear'], ['screen', 'display usability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great deal on a great computer !"], "output": "[['computer', 'laptop general', 'positive', 'NULL'], ['computer', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my first mac and i ' m in love ."], "output": "[['mac', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so far it ' s running smooth with no issues as if it was new ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'smooth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["computer looked excellent ."], "output": "[['computer', 'laptop design_features', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it came in a regular brown box and the power cord was a bit scratched ."], "output": "[['power cord', 'power_supply quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but the mac looked and worked great ."], "output": "[['mac', 'laptop design_features', 'positive', 'great'], ['mac', 'laptop operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is the first macbook i have ever purchased , i wish i had purchased sooner ."], "output": "[['macbook', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["thought all apple products are over priced , i wouldn ' t have anything else ."], "output": "[['apple products', 'company price', 'negative', 'over priced']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["laptop in perfect condition ."], "output": "[['laptop', 'laptop general', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i like the size of the laptop , and it ' s processing speed ."], "output": "[['size of the laptop', 'laptop design_features', 'positive', 'like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["laptop is as described ."], "output": "[['laptop', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it didn ' t come with the box but it came with the charger and so far , i ' ve only been using for a few days , but i have no issues with the item at all ."], "output": "[['item', 'laptop operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["looks brand new and the battery life lasts a long time ( see photos )"], "output": "[['NULL', 'laptop design_features', 'positive', 'new'], ['battery life', 'battery quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i always was a huge fan of apple and i always thought the price on the macbook pros were too steep but i finally took the plunge and i ' m satisfied ."], "output": "[['macbook pros', 'laptop price', 'negative', 'satisfied']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the seller ' s customer service was great very fast response time and the computer came packaged really well , in original box and it great shape ."], "output": "[['customer service', 'support general', 'positive', 'great'], ['customer service', 'support general', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if you ' re thinking about this or the 2016 version i ' d stick with this for now ."], "output": "[['NULL', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the 13 ` ` is a good weight ."], "output": "[['NULL', 'laptop design_features', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["screen resolution super ( retina ) ."], "output": "[['screen resolution', 'display quality', 'positive', 'super']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the display is beautiful and the amount if software you get makes it worth the price !"], "output": "[['display', 'display general', 'positive', 'beautiful'], ['software', 'software price', 'positive', 'worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["mac is life , but i take one star away for the price ."], "output": "[['mac', 'laptop general', 'positive', 'NULL'], ['NULL', 'laptop price', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it boots up instantaneously ."], "output": "[['boots up', 'laptop operation_performance', 'positive', 'instantaneously']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my father is very satisfied with this laptop"], "output": "[['laptop', 'laptop general', 'positive', 'satisfied']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it came exactly as advertised ."], "output": "[['NULL', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is a small , light , powerful device that until 2016 seemed custom fit for content creators , photographers , and other such lines of work or hobbies ."], "output": "[['device', 'laptop design_features', 'positive', 'small'], ['device', 'laptop design_features', 'positive', 'light'], ['device', 'laptop design_features', 'positive', 'powerful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is expensive , but it is absolutely , positively worth it ."], "output": "[['NULL', 'laptop price', 'negative', 'expensive'], ['NULL', 'laptop general', 'positive', 'worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the new pro model is very light and compact , and can easily be carried around with you every day ."], "output": "[['pro model', 'laptop design_features', 'positive', 'light'], ['pro model', 'laptop design_features', 'positive', 'compact'], ['pro model', 'laptop portability', 'positive', 'easily be carried']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the display is amazing and the new force click trackpad is an awesome addition ."], "output": "[['display', 'display operation_performance', 'positive', 'amazing'], ['force click trackpad', 'keyboard general', 'positive', 'awesome']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s a little weird at first , knowing that the button isn ' t actually moving when you click down , but you definitely get used to it ."], "output": "[['button', 'keyboard operation_performance', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the mac pro is also very fast , and i have only experienced the rainbow wheel once or twice whenever i was on a website that wasn ' t responding ."], "output": "[['mac pro', 'laptop operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but so far this laptop has been up to its expectations ."], "output": "[['laptop', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great computer but to took a while to adjust to not having as much memory as my last laptop ."], "output": "[['computer', 'laptop general', 'positive', 'great'], ['memory', 'memory general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["has a long battery life ."], "output": "[['battery life', 'battery operation_performance', 'positive', 'long']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i like everything about this macpro ."], "output": "[['macpro', 'laptop general', 'positive', 'like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["stable , long battery life , and great build ."], "output": "[['battery life', 'battery quality', 'positive', 'stable'], ['battery life', 'battery quality', 'positive', 'long'], ['build', 'laptop design_features', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["as of now , highly recommended refurbished products"], "output": "[['products', 'laptop general', 'positive', 'recommended']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the new retina is amazing and the speed is awesome ."], "output": "[['retina', 'display operation_performance', 'positive', 'amazing'], ['speed', 'cpu operation_performance', 'positive', 'awesome']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the only detail that i have to reproach is that the connection cables are a little dirty , but in acceptable condition ."], "output": "[['connection cables', 'ports quality', 'neutral', 'dirty'], ['connection cables', 'ports quality', 'neutral', 'acceptable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["love this mac book pro ."], "output": "[['mac book pro', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["well macbook is no less than expected ."], "output": "[['macbook', 'laptop general', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this new generation macbook has a fast processor , great retina display , 13 inch high resolution screen , great compatibility and many more ."], "output": "[['processor', 'cpu operation_performance', 'positive', 'fast'], ['retina display', 'display general', 'positive', 'great'], ['screen', 'display quality', 'positive', 'high'], ['compatibility', 'laptop usability', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["crisp screen ."], "output": "[['screen', 'display quality', 'positive', 'crisp']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have had this computer for almost a year now and i love it ."], "output": "[['computer', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have used it for business and school and wouldn ' t want any other computer for the job ."], "output": "[['NULL', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i love this laptop ."], "output": "[['laptop', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["mac really knows how to build a good dev laptop"], "output": "[['mac', 'company general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["im thrilled with my mac ."], "output": "[['mac', 'laptop general', 'positive', 'thrilled']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i was a bit apprehensive at first will ordering such an expensive item online , but it was delivered in perfect new condition ."], "output": "[['item', 'laptop price', 'negative', 'expensive'], ['item', 'shipping quality', 'negative', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i think i will forever be a mac user from now on , it is an awesome product !"], "output": "[['product', 'laptop general', 'positive', 'awesome']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["wonderful machine fast , clean , solid i have to said that this guy i fell from my hands the first day i use , goes to the floor and nothing happens screen is perfect and nothing is damage !"], "output": "[['machine', 'laptop general', 'positive', 'wonderful'], ['machine', 'laptop operation_performance', 'positive', 'fast'], ['machine', 'laptop design_features', 'positive', 'clean'], ['machine', 'laptop design_features', 'positive', 'solid'], ['screen', 'display general', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is my first macbook pro i ' m impress !"], "output": "[['macbook pro', 'laptop general', 'positive', 'impress']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i love this mac ."], "output": "[['mac', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["received on time and the packaging assured that if those ups drivers dropped my computer , it would t damage it ."], "output": "[['NULL', 'shipping operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the computer itself is as stated and i received at a price my husband and i were both happy with ."], "output": "[['computer', 'laptop price', 'positive', 'happy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["fast shipping ."], "output": "[['shipping', 'shipping operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["what an excellent computer ."], "output": "[['computer', 'laptop general', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["as a refurbished item it was indistinguishable from a new item ."], "output": "[['item', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["condition even better then i expect ."], "output": "[['condition', 'laptop general', 'positive', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the mac works like a new one ."], "output": "[['mac', 'laptop operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great laptop , excellent quality , definitely meets my expectations ."], "output": "[['laptop', 'laptop general', 'positive', 'great'], ['laptop', 'laptop quality', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the macbook was delivered soon and it is exactly as described"], "output": "[['NULL', 'shipping operation_performance', 'positive', 'NULL'], ['macbook', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i love this computer ."], "output": "[['computer', 'laptop general', 'positive', 'love'], ['computer', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it has been great for everything i ' ve done ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i would like to have more storage capacity but the ssd boots this laptop up in a matter of seconds ."], "output": "[['ssd', 'hard_disc operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great price for a brand new product ."], "output": "[['NULL', 'laptop price', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["now i keep seeing headlines for bad battery life and other woes for the 2016 edition and feel extra satisfied by my choice ."], "output": "[['battery life', 'battery quality', 'negative', 'bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["slim , very fast , great screen , lightweight , solid state drives , great battery ( even though it burns the battery life when i play my flight simulator due to processing demands of the graphics ! )"], "output": "[['NULL', 'laptop design_features', 'positive', 'slim'], ['NULL', 'laptop operation_performance', 'positive', 'fast'], ['screen', 'display general', 'positive', 'great'], ['NULL', 'laptop design_features', 'positive', 'lightweight'], ['battery', 'battery operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s a great computer ."], "output": "[['computer', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the pro is by far the best ."], "output": "[['pro', 'laptop general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the retina screen does an excellent job of not tiring my eyes after a long day of computer work ."], "output": "[['retina screen', 'display operation_performance', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i am very pleased with this version of the mac and hope i never have to upgrade again because this is by far the best !"], "output": "[['mac', 'laptop general', 'positive', 'pleased'], ['mac', 'laptop general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if you ' re coming from a pc you ' ll love the battery ."], "output": "[['battery', 'battery general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["1 - itunes match ( $ 25 / yr i believe ) keeps all of your music synced across all of your ios devices with no limit ."], "output": "[['itunes match', 'software general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the screen display is absolutely amazing and totally blows me away ."], "output": "[['screen display', 'display general', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["january 21 , 2016 update : i love this laptop even more than before ."], "output": "[['laptop', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["feel totally comfortable with it , and will never go back to a pc ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'comfortable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it has been super easy to become familiar with it ; the more i use it , the more i appreciate it !"], "output": "[['NULL', 'laptop usability', 'positive', 'easy'], ['NULL', 'laptop general', 'positive', 'appreciate']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this laptop is incredibly lightweight and slim ( ultimately won me over after years of lugging around a whopping 5lb levono ) ."], "output": "[['laptop', 'laptop design_features', 'positive', 'lightweight'], ['laptop', 'laptop design_features', 'positive', 'slim']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i hate the new keyboard the newer version comes with ."], "output": "[['keyboard', 'keyboard general', 'negative', 'hate']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the 2015 version has the old keyboard with keys that you can actually type on without the fear of a typo every other word ."], "output": "[['keyboard', 'keyboard design_features', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the battery life ( so far ) is fairly true to the description and has lasted me 8 hours of constant use ."], "output": "[['battery life', 'battery operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s so much faster and the mac os is so much more secure ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'faster'], ['mac os', 'os design_features', 'positive', 'secure']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["love my new computer , there were some knicks on the outside but it works well"], "output": "[['computer', 'laptop general', 'positive', 'love'], ['computer', 'laptop operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this was exactly what i needed and it performs as new which is exactly what i expected as well ."], "output": "[['NULL', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve only had it for one day and the set up was easy , and all items delivered were present , will update over time !"], "output": "[['set up', 'os usability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so i decided to use some of my christmas money to buy myself this one , and so far this is pretty awesome !"], "output": "[['NULL', 'laptop general', 'positive', 'awesome']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s a different computer overall due to the way you control certain things and what not , but that hasn ' t been a big deal ."], "output": "[['computer', 'laptop operation_performance', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i also like the display ."], "output": "[['display', 'display general', 'positive', 'like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the speakers on this model are really nice as well ."], "output": "[['speakers', 'multimedia_devices general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s also awesome how the charger for this computer is magnetic ."], "output": "[['charger', 'power_supply general', 'positive', 'awesome'], ['charger', 'power_supply general', 'positive', 'magnetic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall , i ' m very happy i chose this model ."], "output": "[['model', 'laptop general', 'positive', 'happy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["definitely glad i purchased my mac ."], "output": "[['mac', 'laptop general', 'positive', 'glad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the display clarity is outstanding ."], "output": "[['display clarity', 'display operation_performance', 'positive', 'outstanding']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i am fully satisfied with the purchase and communication with the seller was great ."], "output": "[['NULL', 'laptop general', 'positive', 'satisfied'], ['seller', 'support general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i love the mac ."], "output": "[['mac', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i love it , it is as shown on the picture"], "output": "[['NULL', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is a great laptop !"], "output": "[['laptop', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["beautiful display and runs fast !"], "output": "[['display', 'display general', 'positive', 'beautiful'], ['NULL', 'laptop operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["a great laptop !"], "output": "[['laptop', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["awsome machine ."], "output": "[['machine', 'laptop general', 'positive', 'awsome']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["as expected from apple !"], "output": "[['apple', 'company general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the best laptop i ever had including amazing retina display , light weighted , fast booting , high performance and prolong battery time ."], "output": "[['laptop', 'laptop general', 'positive', 'best'], ['retina display', 'display general', 'positive', 'amazing'], ['laptop', 'laptop design_features', 'positive', 'light'], ['laptop', 'laptop operation_performance', 'positive', 'fast'], ['laptop', 'laptop operation_performance', 'positive', 'high'], ['battery', 'battery operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great item by apple as usual ."], "output": "[['item', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["works exactly like it ' s supposed to work !"], "output": "[['NULL', 'laptop operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["a wonderful device with extremely clear display ."], "output": "[['device', 'laptop general', 'positive', 'wonderful'], ['display', 'display general', 'positive', 'clear']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["one year later and the laptop is still in great condition !"], "output": "[['laptop', 'laptop operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the macbook pro is everything i hoped for and more ."], "output": "[['macbook pro', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["just made the move from pc to macbook !"], "output": "[['macbook', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["love my macbook , beautiful and use daily !"], "output": "[['macbook', 'laptop general', 'positive', 'love'], ['macbook', 'laptop general', 'positive', 'beautiful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my 17 year old granddaughter loves it ."], "output": "[['NULL', 'laptop general', 'positive', 'loves']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the rig works better than advertised ."], "output": "[['rig', 'laptop operation_performance', 'positive', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it was as they advertised ."], "output": "[['NULL', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great little laptop ."], "output": "[['laptop', 'laptop operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["latterly the best laptop i ' ve ever had , fast , powerful , stunning display , little problems with pairing bluetooth"], "output": "[['laptop', 'laptop general', 'positive', 'best'], ['laptop', 'laptop operation_performance', 'positive', 'fast'], ['laptop', 'laptop operation_performance', 'positive', 'powerful'], ['display', 'display quality', 'positive', 'stunning'], ['pairing bluetooth', 'ports operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["five stars with no doubt , thanks apple for such product"], "output": "[['apple', 'company general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i would highly recommend this product if you want to get into music production like myself ."], "output": "[['product', 'laptop general', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["elegant design combined good performance , this laptop is almost flawless ."], "output": "[['design', 'laptop design_features', 'positive', 'elegant'], ['NULL', 'laptop operation_performance', 'positive', 'NULL'], ['this laptop', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["small light portable , excellent screen , very fast performance and soo quiet , does this have a fan ?"], "output": "[['screen', 'display general', 'positive', 'NULL'], ['NULL', 'laptop operation_performance', 'positive', 'fast'], ['NULL', 'laptop operation_performance', 'positive', 'quiet']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the battery lasts me days ."], "output": "[['battery', 'battery operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is a lovely product that i recommend for general use as a student , less so for gaming and storing whatnot ."], "output": "[['product', 'laptop general', 'positive', 'lovely'], ['product', 'laptop general', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["love it ."], "output": "[['NULL', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i love the mac laptops , they are durable , reliable , light with all day battery and have awesome designs ."], "output": "[['mac laptops', 'laptop general', 'positive', 'love'], ['mac laptops', 'laptop operation_performance', 'positive', 'durable'], ['mac laptops', 'laptop operation_performance', 'positive', 'reliable'], ['mac laptops', 'laptop design_features', 'positive', 'light'], ['battery', 'battery design_features', 'positive', 'NULL'], ['designs', 'laptop design_features', 'positive', 'awesome']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i love it ."], "output": "[['NULL', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i am so excited about it and hope to see more of your products in the future !"], "output": "[['NULL', 'laptop general', 'positive', 'excited']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the best product ."], "output": "[['product', 'laptop general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["excellent packaging ."], "output": "[['NULL', 'shipping general', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["fast delivery , brand new as expected ."], "output": "[['delivery', 'shipping quality', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard and os takes some getting used to ."], "output": "[['keyboard', 'keyboard usability', 'neutral', 'NULL'], ['os', 'os usability', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["good quality all around hardware + software , of course that is what apple is known for ."], "output": "[['hardware', 'hardware quality', 'positive', 'good'], ['software', 'software quality', 'positive', 'good'], ['apple', 'company general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very nicely packed in original box ."], "output": "[['NULL', 'shipping general', 'positive', 'nicely']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["computer came in good condition and at a good price ."], "output": "[['NULL', 'shipping general', 'positive', 'good'], ['computer', 'shipping price', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great value for money , the notebook is as good as new ."], "output": "[['notebook', 'laptop price', 'positive', 'great'], ['notebook', 'laptop general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["works great !"], "output": "[['works', 'laptop operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have had this laptop for about a month now and every time i turn it on , i am still blown away !"], "output": "[['laptop', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["when i first got it in the mail and i opened it up and turned it on for the first time , i was a little speechless because the retina display looks so good !"], "output": "[['retina display', 'display general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very clean computer everything looks brand new !"], "output": "[['computer', 'laptop design_features', 'positive', 'clean']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["what ' s not to like , it ' s an amazing machine ."], "output": "[['machine', 'laptop general', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["also the battery life is great and lasts me an entire day ( i ' m usually on it all day too )"], "output": "[['battery life', 'battery operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great purchase , quick shipping ."], "output": "[['NULL', 'laptop general', 'positive', 'great'], ['shipping', 'shipping general', 'positive', 'quick']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["excellent quality and very fast delivery ."], "output": "[['NULL', 'laptop quality', 'positive', 'excellent'], ['delivery', 'shipping general', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this laptop is absolutely everything i imagined ."], "output": "[['laptop', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the computer is very beautiful and very light ."], "output": "[['computer', 'laptop design_features', 'positive', 'beautiful'], ['computer', 'laptop design_features', 'positive', 'light']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the retina display is stunning ."], "output": "[['retina display', 'display general', 'positive', 'stunning']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this computer is amazing ."], "output": "[['computer', 'laptop general', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the battery life is outstanding ."], "output": "[['battery life', 'battery general', 'positive', 'outstanding']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the internal flash memory is like greased lightning ."], "output": "[['flash memory', 'memory operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i was super worried that touching the keyboard when it was in tablet mode would cause it to switch back to laptop mode , but it looks like once you move the screen back past like 180 degrees , it goes into full touchscreen ."], "output": "[['keyboard', 'keyboard usability', 'negative', 'worried']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if you purchase this product , go into it with realistic expectations and patience getting familiar with the setup and you ' ll probably love it , too !"], "output": "[['product', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i bought this chromebook on the prime day deal , but even without $ 60 off it would still have been worth the money ."], "output": "[['chromebook', 'laptop price', 'positive', 'worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it looks way better in person than in the pictures ."], "output": "[['NULL', 'laptop design_features', 'positive', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["since you have access to android apps on the google play store , you don ' t have to rely solely on the chrome browser to access apps ."], "output": "[['android apps', 'software general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i haven ' t had issues with the track pad as others have ."], "output": "[['track pad', 'hardware usability', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i also bought a wireless mouse , which paired perfectly ."], "output": "[['wireless mouse', 'keyboard general', 'positive', 'perfectly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["do your research , learn how to optimize your experience , and you ' ll love it !"], "output": "[['NULL', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["well , i have to say , i ' m fairly impressed with my new chrome flipbook !"], "output": "[['chrome flipbook', 'laptop general', 'positive', 'impressed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["and the blue mail email app handles my multiple emails from multiple domains ."], "output": "[['blue mail email app', 'software usability', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve used it for 3 days and still have n ' t plugged it in !"], "output": "[['NULL', 'battery quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s fast , secure , easy to use ( even as a tech geek , it ' s nice knowing something ' s just going to work ) ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'fast'], ['NULL', 'laptop operation_performance', 'positive', 'nice'], ['NULL', 'laptop usability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m a writer , and this has easily become my main computer for both work and play ( google docs easily replaces word , and android apps make it much better for gaming than i originally expected ) ."], "output": "[['NULL', 'laptop usability', 'positive', 'NULL'], ['android apps', 'software usability', 'positive', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the battery life is great ( i get about 9 hours ) ."], "output": "[['battery life', 'battery general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my only complaint is the click on the touchpad feels a little cheap , but i just use ` ` tap to click ` ` so it ' s not an issue ."], "output": "[['touchpad', 'hardware operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall i love this machine , and all my computers will probably be chromebooks in the future ."], "output": "[['machine', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my desktop runs all my video editing software for my bigger and most demanding projects and my laptop is great for editing video and running pc games in places other than my home ( like school ! )"], "output": "[['desktop', 'laptop miscellaneous', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i wanted something i could work on my writing projects on the go , so i paid the $ 250 for this thing ."], "output": "[['NULL', 'laptop price', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["when i recieved the item i was amazed at the quality of it ."], "output": "[['item', 'laptop quality', 'positive', 'amazed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but just at first glance , this thing is top quality ."], "output": "[['NULL', 'laptop quality', 'positive', 'top']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["nothing on it feels cheap at all ."], "output": "[['NULL', 'laptop design_features', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["all of it feels very strudy ( within reason ) and has a nice , modern look and feel to it ."], "output": "[['NULL', 'laptop design_features', 'positive', 'strudy'], ['NULL', 'laptop design_features', 'positive', 'nice'], ['NULL', 'laptop design_features', 'positive', 'modern']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i feel like this will look good in any decade ."], "output": "[['NULL', 'laptop design_features', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i boot it up and notice quickly the display seems to be 720p ( or something close ) but for what i need this thing to do ."], "output": "[['display', 'display operation_performance', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the touchscreen and the hotkeys along the top take some getting used to but i was quickly in the google play store , downloading all the apps i have on my phone and linking them to my accounts ."], "output": "[['touchscreen', 'display usability', 'negative', 'NULL'], ['hotkeys', 'keyboard usability', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["` ` this thing is neat . ` `"], "output": "[['NULL', 'laptop usability', 'positive', 'neat']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i was supposed to use this to write !"], "output": "[['NULL', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i use some other apps but nothing is quite the same for my workflow ."], "output": "[['apps', 'software design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i thought the gizmo was neat but i was disappointed that i couldn ' t really use it the way i wanted to it that regards ."], "output": "[['gizmo', 'laptop operation_performance', 'negative', 'disappointed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i was using my whole $ 3k desktop on this little $ 250 laptop and it ran flawlessly !"], "output": "[['laptop', 'laptop operation_performance', 'positive', 'flawlessly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i could even watch videos and game from the laptop itself ( to an extent ) ."], "output": "[['laptop', 'laptop usability', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["that is just incredible ."], "output": "[['NULL', 'laptop general', 'positive', 'incredible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["for $ 250 i can control my $ 3000 pc anywhere ."], "output": "[['pc', 'laptop portability', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this thing is the ultimate mobile workhorse ."], "output": "[['NULL', 'laptop portability', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is the ultimate tablet ."], "output": "[['tablet', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this thing is amazing ."], "output": "[['NULL', 'laptop general', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["buy it for school , buy it for home , buy on for the grandkids ."], "output": "[['NULL', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i chose this one mainly because of the full size keyboard , larger screen , and full size hdmi ."], "output": "[['keyboard', 'keyboard design_features', 'positive', 'NULL'], ['screen', 'display design_features', 'positive', 'larger'], ['hdmi', 'ports design_features', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["you can right - click by using two fingers to tap the track pad at the same time ( or 2 fingers on the touchpad , using one of them to press press down / click the touchpad ) ."], "output": "[['touchpad', 'hardware general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the feel of the touchpad is not as smooth ( frictionless ) as others i have used , but it ' s not terrible either ."], "output": "[['touchpad', 'keyboard usability', 'neutral', 'not terrible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["however , it does feel like a sturdy hinge ."], "output": "[['NULL', 'laptop design_features', 'positive', 'sturdy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the screen does not wobble as there is a good amount of friction holding it where you put it ."], "output": "[['screen', 'display general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["reserve your judgement until you ' ve updated the software entirely ."], "output": "[['software', 'software general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["giving lower stars for not realizing its limited capabilities is your own fault ."], "output": "[['NULL', 'laptop operation_performance', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i love the feel of a lighter os and can do many tasks using google / web based apps ."], "output": "[['os', 'os operation_performance', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i can live with the so - so touchpad since the rest of it feels solid / sturdy ."], "output": "[['touchpad', 'keyboard usability', 'neutral', 'so - so'], ['touchpad', 'laptop design_features', 'positive', 'solid'], ['touchpad', 'laptop design_features', 'positive', 'sturdy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["yes , this chromebook comes with the android app store pre - installed ."], "output": "[['chromebook', 'laptop design_features', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["although 4 gigs of ram doesn ' t seem like a lot to some of us , because of the simple software , it is very fast with no lag ."], "output": "[['ram', 'memory quality', 'neutral', 'NULL'], ['software', 'software design_features', 'positive', 'simple'], ['NULL', 'laptop operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my wife upgraded from the 2 gigs of ram version to this , and it seems like there is more than twice the performance ."], "output": "[['ram', 'memory design_features', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the screen is pleasantly satisfying with the touch screen and foldability ."], "output": "[['screen', 'display design_features', 'positive', 'pleasantly'], ['screen', 'display design_features', 'positive', 'satisfying']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the power button is no longer on the keyboard , but is instead on the side of the machine which is fine ."], "output": "[['power button', 'laptop design_features', 'positive', 'fine']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this machine , through her minimum time of using it , has already been so much faster for her to use ."], "output": "[['machine', 'laptop usability', 'positive', 'faster']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m amazed at this product that has the same build as the other acer chromebooks ."], "output": "[['product', 'laptop design_features', 'positive', 'amazed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we are happy to be selling her old one we bought just a few months ago , in replacement of this new r11 !"], "output": "[['r11', 'laptop general', 'positive', 'happy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["1st , i was shocked at how easy it was to set up ."], "output": "[['set up', 'laptop usability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["in preparation for becoming a chromebook user i had purchased a 256 gig memory card and moved all my laptop files to it ."], "output": "[['memory card', 'memory general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it worked great ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["every app i have downloaded from the google app store has worked perfectly ."], "output": "[['app', 'software operation_performance', 'positive', 'perfectly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["amazon , as well as the google suite of docs , sheets , slides , and photos work great ."], "output": "[['amazon', 'software operation_performance', 'positive', 'great'], ['google suite', 'software operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["there nwere complaints regarding the lousy screen resolution , as well as the mouse pad not working well ."], "output": "[['screen resolution', 'display operation_performance', 'negative', 'lousy'], ['mouse pad', 'keyboard operation_performance', 'negative', 'not working well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this by far has been the easiest to set up and use ."], "output": "[['set up', 'laptop usability', 'positive', 'easiest']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is fast and simple ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'fast'], ['NULL', 'laptop operation_performance', 'positive', 'simple']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["gates and this machine allows me to do this ."], "output": "[['machine', 'laptop operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["of course , i have only had this acer for a week ."], "output": "[['acer', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if something happens within 30 days i will return it but i will get another one ."], "output": "[['NULL', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i am very happy with my chromebook !"], "output": "[['chromebook', 'laptop general', 'positive', 'happy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very poor experience ."], "output": "[['NULL', 'laptop general', 'negative', 'poor']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["customer service did not respond for almost a week , and i ended up paying + $ 20 in shipping to return the device ."], "output": "[['customer service', 'support general', 'negative', 'NULL'], ['device', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the screen just went blank and would not shut down , stayed in a cycle that would bring up some gray screen and then just turn itself into sleep mode ."], "output": "[['screen', 'display operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it has been just over 6 months since purchasing this and it already needs a 500 fix ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this model has a defect ."], "output": "[['model', 'laptop design_features', 'negative', 'defect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the screen blacks out and apple has refused to fix it ."], "output": "[['screen', 'display operation_performance', 'negative', 'NULL'], ['apple', 'support quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["they have refused to fix it to date ."], "output": "[['NULL', 'support quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["not sure what the deal is but extremely disappointed ."], "output": "[['deal', 'laptop general', 'negative', 'disappointed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the laptop is in great physical conditions , no scratches or anything , but certain actions run slowly , specifically any file read or write , like copying a document , uploading an image , creating a new file , etc ."], "output": "[['laptop', 'laptop design_features', 'positive', 'great'], ['laptop', 'laptop operation_performance', 'negative', 'slowly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the other weird thing is a ` ` popping ` ` noise i keep getting when i use the tracking pad ."], "output": "[['tracking pad', 'hardware quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s a clicking or popping noise that comes from the left side speaker ."], "output": "[['left side speaker', 'multimedia_devices operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["less than 90 days and the screen stopped working ."], "output": "[['screen', 'display quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i contacted the seller and they seemed like they could care less ."], "output": "[['seller', 'support general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i bought this to save me money and now i wasted $ 700 to still have to go out and buy a new one ."], "output": "[['NULL', 'laptop quality', 'negative', 'NULL'], ['NULL', 'laptop price', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["however there are many issues with this computer on start up that really bothered me and made my experience with a mac not that great"], "output": "[['computer', 'laptop quality', 'negative', 'bothered'], ['mac', 'laptop operation_performance', 'negative', 'not that great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["as soon as i turned on the computer , it froze as i tried to sync information ."], "output": "[['computer', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["another problem i had was when i awakened my computer from sleeping , the wifi would not work ."], "output": "[['wifi', 'ports general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i fixed it , however it took intensive research to fix it ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so if you want to buy this computer , make sure you ' re prepared for some early booting issues ."], "output": "[['computer', 'os general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i packaged it right back up and sent it back the same day i got it ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i had this laptop for a little over a year and it worked well at first ."], "output": "[['laptop', 'laptop operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i only used it work my college school work and light browsing ."], "output": "[['NULL', 'laptop operation_performance', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["apple told me that they ca n ' t order those screws so i basically threw my money away on this laptop ."], "output": "[['NULL', 'support general', 'negative', 'NULL'], ['laptop', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["unfortunately this macbook is part of the ` ` staingate ` ` series , i would not suggest to buy this as apple doesn ' t seem to care about customers buying a faulty product that is very expensive"], "output": "[['product', 'laptop general', 'negative', 'faulty'], ['product', 'laptop price', 'negative', 'expensive'], ['apple', 'company quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["unfortunately , before i purchased it , i failed to research what the thunderbolt ports were ."], "output": "[['thunderbolt ports', 'ports design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["as it turned out the thunderbolt ports are of no use ."], "output": "[['thunderbolt ports', 'ports usability', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the machine looks amazing doesn ' t it !"], "output": "[['machine', 'laptop general', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["as the hours in your day wind down , they will tell you to go here and there , call you back , ultimately to find out that , ` ` i ' m sorry but we do not cover that ` ` ."], "output": "[['NULL', 'support quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["apple should ashamed to be associated with this cheap , lousy , clearly inferior , plastic nightmare - but then again , maybe that is exactly what they do want , so profits soar ."], "output": "[['apple', 'company general', 'negative', 'ashamed'], ['NULL', 'laptop price', 'negative', 'cheap'], ['NULL', 'laptop general', 'negative', 'lousy'], ['NULL', 'laptop general', 'negative', 'inferior']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m pretty sure i ordered the biggest size , and i got the smaller one , but whatever it shipped fast and it works great ."], "output": "[['NULL', 'shipping general', 'positive', 'fast'], ['NULL', 'laptop operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["have not heard any complaints about the product ."], "output": "[['product', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["apple told me to upgrade it to just buy the new one when they release it ."], "output": "[['apple', 'company general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["disappointed in reliability : used in a small business operated by my wife ."], "output": "[['NULL', 'laptop usability', 'negative', 'disappointed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if known ahead of time , we would have not purchased this machine ."], "output": "[['machine', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["apple used to make a wonderful product but my computer is now a useless paperweight until i have a new charger sent to me ."], "output": "[['apple', 'company general', 'negative', 'wonderful'], ['computer', 'laptop quality', 'negative', 'useless'], ['charger', 'power_supply quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["stop working the macbook pro"], "output": "[['macbook pro', 'laptop quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["hold on before you decide to pay $ 2500 for this laptop ."], "output": "[['laptop', 'laptop price', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it turns out that it ' s not a stain , but the anti - reflective coating coming off ."], "output": "[['anti - reflective coating', 'laptop quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i went to the apple store and they said it would be 900 to fix ."], "output": "[['apple store', 'support price', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great aesthetics ."], "output": "[['aesthetics', 'laptop design_features', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["transferring files from a non - iphone phone , like android is extremely annoying ."], "output": "[['android', 'software portability', 'negative', 'annoying']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["everytime the charger is on the laptop , my left wrist will always get stung when it touches the side of the chassis ."], "output": "[['charger', 'power_supply quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["ive researched this and it is very common and apple says it ' s normal ."], "output": "[['apple', 'support general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- high resolution / dpi screen"], "output": "[['screen', 'display design_features', 'positive', 'high']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- thin and relatively lite weight"], "output": "[['NULL', 'laptop design_features', 'positive', 'thin'], ['NULL', 'laptop design_features', 'positive', 'lite']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- fans run more often on the latest version ."], "output": "[['fans', 'fans&cooling general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- for such a premium price , this is definitely the worst purchase quality wise that i have made ."], "output": "[['NULL', 'laptop price', 'negative', 'premium'], ['NULL', 'laptop quality', 'negative', 'worst']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the quality is terrible ( both versions ) for such a pricey product ."], "output": "[['NULL', 'laptop quality', 'negative', 'terrible'], ['product', 'laptop price', 'negative', 'pricey']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is not a new unit ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i made the mistake of thinking it was new ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have had nothing but problems with my macbook connecting to my wifi from the beginning ."], "output": "[['macbook', 'laptop connectivity', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["absolutly horrible product , cheap components make for unreliable products , but when the nearest service location is 50 + miles away i wonder how much apple truly cares ?"], "output": "[['product', 'laptop general', 'negative', 'horrible'], ['components', 'laptop price', 'negative', 'cheap'], ['products', 'laptop quality', 'negative', 'unreliable'], ['service location', 'support general', 'negative', 'NULL'], ['apple', 'company general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it started throwing i / o errors ( log viewer ) and occasionally ` ` system error - 50 ` ` would show ."], "output": "[['i / o', 'ports operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it would power on , start to boot , then abruptly power down ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my macbook pro 15 \u201d can overheating when some do it !"], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["your new retina screen will get stains on it from the top layer seperating and or dead pixels ."], "output": "[['retina screen', 'display quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overpriced low quality product ."], "output": "[['product', 'laptop price', 'negative', 'overpriced'], ['product', 'laptop quality', 'negative', 'low']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my laptop is affected by the staingate issue and apple denied responsibility , saying that it ' s a cosmetic problem caused by improper cleaning , yet there are thousands of reports on this ."], "output": "[['laptop', 'laptop quality', 'negative', 'NULL'], ['apple', 'company general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["apple should be embarrassed ."], "output": "[['apple', 'company general', 'negative', 'embarrassed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["* excellent form factor , extremely portable while remaining a serious pro computer"], "output": "[['pro computer', 'laptop design_features', 'positive', 'excellent'], ['pro computer', 'laptop portability', 'positive', 'portable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["* incredible display"], "output": "[['display', 'display operation_performance', 'positive', 'incredible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["* good keyboard"], "output": "[['keyboard', 'keyboard general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["* decent selection of ports for its size"], "output": "[['ports', 'ports design_features', 'positive', 'decent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["* very weak wifi reception from the built - in antenna ."], "output": "[['wifi', 'ports connectivity', 'negative', 'weak']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the machine is near - unusable out of the box ."], "output": "[['machine', 'laptop operation_performance', 'negative', 'unusable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it stutters and pauses as you switch windows or use the ` ` show all windows ` ` or ` ` show desktop ` ` functions ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["you have to ` ` increase contrast ` ` and ` ` reduce transparency ` ` in the accessibility options to make it perform ok , but with a ui that looks like s * * * ."], "output": "[['ui', 'software design_features', 'negative', 's * * *']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["paradoxically , this laptop is a ` ` pro ` ` ."], "output": "[['laptop', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["sadly , apple is moving into fashion - - your laptop is no longer a performing athlete ."], "output": "[['apple', 'company general', 'negative', 'sadly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["had it for a week now and still finding things it can not do ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is a great computer ."], "output": "[['computer', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but how expensive it is ."], "output": "[['NULL', 'laptop price', 'negative', 'expensive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i can not leave now because i need my computer fixed ."], "output": "[['computer', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["beware that stains in the coating of the display have been detected in all of the macbook retina editions ."], "output": "[['display', 'display quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["however , after a couple of months the keyboard case started to crack at the corner ."], "output": "[['keyboard case', 'keyboard quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["update - 7 / 30 / 18 - exactly the same issue has occurred with a crack in the keyboard cover on the opposite side ."], "output": "[['keyboard cover', 'keyboard quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this device would be a good choice if it weren ' t so poorly constructed ."], "output": "[['device', 'laptop general', 'positive', 'good'], ['device', 'laptop quality', 'positive', 'poorly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i originally purchased this at the beginning of april after about a week it stopped charging ( would receive ` ` low power charger ` ` connected message and not charge ) ."], "output": "[['NULL', 'power_supply operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ended up returning it ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my second asus chromebook has died ."], "output": "[['asus chromebook', 'laptop general', 'negative', 'died']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but asus chromebooks have a fatsl flaw ."], "output": "[['asus chromebooks', 'laptop general', 'negative', 'flaw']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i was so excited to buy the asus chromebook , and bought some for my grandchildren ."], "output": "[['asus chromebook', 'laptop general', 'positive', 'excited']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but this asus , who offered so much & rated over 4 stars , turned to a black screen , just over a month after i received it ."], "output": "[['asus', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["lo and behold , i hadn ' t read quite all of the 1 * reviews : the worst was a teacher who had ordered so many for her several classes and said ` ` i think the problem is with the motherboard ."], "output": "[['motherboard', 'motherboard quality', 'negative', 'worst']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we ' ve got android nougat on beta running pretty well now ."], "output": "[['android nougat', 'os operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["most apps run pretty - ok in beta - some problems i ' m noticing in beta are that bluetooth is less than ideal and i believe battery life suffers greatly , now that i ' ve been paying attention to it ."], "output": "[['apps', 'software operation_performance', 'positive', 'ok'], ['bluetooth', 'ports general', 'negative', 'NULL'], ['battery life', 'battery quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the stock video player misses audio on a lot of movies , and using the vlc app ( android ) is super buggy ( frequently freezes and shuts down ) ."], "output": "[['stock video player', 'software operation_performance', 'negative', 'NULL'], ['vlc app', 'software operation_performance', 'negative', 'buggy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s increasingly disappointing to see the much - hyped play access is still nonexistent ."], "output": "[['play access', 'software quality', 'negative', 'disappointing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m still loving the * idea * of what the c302 is supposed to be , but the execution is feeling more and more of a miss ."], "output": "[['c302', 'laptop general', 'positive', 'loving'], ['c302', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["needless to say , android / play rollout is being managed very , very poorly ."], "output": "[['android / play rollout', 'software operation_performance', 'negative', 'poorly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["for the moment , please note - * * * this product no longer works with the google play store in stable or beta * * * and there is no communication about what we can expect , or when ."], "output": "[['product', 'software operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i will update this review when there is further progress - i believe this is a 5 star product but the updates are reducing my confidence in the software ."], "output": "[['product', 'laptop general', 'positive', 'NULL'], ['software', 'software general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["some of you will remember the asus \u201c transformer \u201d line of android tablets - pretty respectable tablets with tegra processors , decent builds , and most importantly - a keyboard dock that was far , far superior to any on - screen keyboard options ."], "output": "[['NULL', 'laptop general', 'positive', 'respectable'], ['builds', 'laptop design_features', 'positive', 'decent'], ['keyboard dock', 'keyboard general', 'positive', 'superior']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i remember them fondly ."], "output": "[['NULL', 'laptop general', 'positive', 'fondly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the asus c302 is , for me , the dream of that perfect asus tablet / keyboard combo made real ."], "output": "[['asus c302', 'laptop general', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- the m3 processor is * plenty * of power for all chrome , video , and android requirements ."], "output": "[['m3 processor', 'cpu quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["that ' s how confident i am in the asus after 10 days ."], "output": "[['asus', 'company general', 'positive', 'confident']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- android apps work rather well , even if not perfectly yet ."], "output": "[['android apps', 'software operation_performance', 'positive', 'well'], ['android apps', 'software operation_performance', 'positive', 'not perfectly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m still using chrome for almost all native google apps , however , since chrome tabs / apps simply work better / faster / easier than their android counterparts ."], "output": "[['chrome tabs / apps', 'software operation_performance', 'positive', 'better'], ['chrome tabs / apps', 'software operation_performance', 'positive', 'faster'], ['chrome tabs / apps', 'software usability', 'positive', 'better'], ['chrome tabs / apps', 'software usability', 'positive', 'faster']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the c302 is clean and feels solid ."], "output": "[['c302', 'laptop design_features', 'positive', 'clean'], ['c302', 'laptop design_features', 'positive', 'solid']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is a nice perk to save battery life and for folks who like to read / / browse late at night in bed and do n ' t want the backlighting on ."], "output": "[['NULL', 'keyboard design_features', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is now my fastest - charging device ."], "output": "[['device', 'laptop operation_performance', 'positive', 'fastest']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it charges insanely fast ."], "output": "[['NULL', 'power_supply operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- jstorrent works nicely for any torrenting needs ."], "output": "[['jstorrent', 'software operation_performance', 'positive', 'nicely']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- android support is only in beta mode as of february 5 , 2017 ."], "output": "[['android support', 'support general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ll end the review simply saying i ' m very happy overall with my purchase !"], "output": "[['NULL', 'laptop general', 'positive', 'happy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great machine out of the box ."], "output": "[['machine', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but after only a couple of days the thing just turned off and won ' t turn back on again ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i tired every remedy found online , and even got in touch with asus tech support who just said ` ` send it back ` ` ."], "output": "[['asus tech support', 'support general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["and apparently amazon is experiencing a supply shortage because my replacement isn ' t expected until sometime between jan 11th to feb 5th !"], "output": "[['amazon', 'support general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the c302 is a great machine ."], "output": "[['c302', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["as of today , they can not give me a date on the return of my chromebook ."], "output": "[['NULL', 'support operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["clearly , this is a company that can not handle repairs in a timely matter ."], "output": "[['company', 'company general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is a dreadful little piece of machinery ."], "output": "[['machinery', 'laptop general', 'negative', 'dreadful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve had mine 10 months and the motherboard has crapped out twice already ."], "output": "[['motherboard', 'motherboard operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["bought it for a xmas gift , dead in less than 3 months ."], "output": "[['NULL', 'laptop quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it was an amazing laptop , until the graphics card started rotting after a month ."], "output": "[['laptop', 'laptop general', 'positive', 'amazing'], ['graphics card', 'graphics operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["edit : just shy of owning 2 for 9 months now and both are experiencing touch screen failure problems ."], "output": "[['touch screen', 'display operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["one of them keeps sliding the touchscreen randomly back and forth , and the other one disables a top portion of the screen randomly ."], "output": "[['touchscreen', 'display operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i loved this chromebook , it worked great for six months ."], "output": "[['chromebook', 'laptop general', 'positive', 'loved'], ['chromebook', 'laptop operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["now the romance is over ; it won ' t charge , and my only option is to send it in for service , a 10 - day event not including shipping there and back ."], "output": "[['NULL', 'power_supply operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the build quality is fantastic ."], "output": "[['build quality', 'laptop design_features', 'positive', 'fantastic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the thing that made me return it was the trackpad ."], "output": "[['trackpad', 'keyboard general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the trackpad was very glitchy ."], "output": "[['trackpad', 'keyboard general', 'negative', 'glitchy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i had the trackpad speed maxed out and it still was bugging out ."], "output": "[['trackpad', 'keyboard operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall i like the portability and battery life on this device ."], "output": "[['device', 'laptop portability', 'positive', 'like'], ['battery life', 'battery quality', 'positive', 'like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my disappointment begins with the fact that chromeos is not touch - ready and most websites will not consider touch interface for desktop mode websites ."], "output": "[['chromeos', 'os usability', 'negative', 'disappointment']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["google ' s own services like google docs , drive , and gmail don ' t respond well to touch screen gestures often leaving me in despair ."], "output": "[[\"google ' s own services\", 'software design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["aside from the larger capacity , it hasn ' t lived up to some of the other hardware i ' ve used ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["\u2022 super thin and light weight"], "output": "[['NULL', 'laptop design_features', 'positive', 'thin'], ['NULL', 'laptop design_features', 'positive', 'light']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["\u2022 bright screen with good colors"], "output": "[['screen', 'display quality', 'positive', 'bright'], ['screen', 'display quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["\u2022 occasionally hangs for 10 - 30 seconds with no response from keyboard or trackpad"], "output": "[['keyboard', 'keyboard operation_performance', 'negative', 'NULL'], ['trackpad', 'keyboard operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i also decided that despite the advantages of the asus , i can not live with the sharp edges and middling volume ."], "output": "[['asus', 'laptop general', 'positive', 'NULL'], ['asus', 'laptop design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["at first i was totally stoked on this chromebook ."], "output": "[['chromebook', 'laptop general', 'positive', 'stoked']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["aluminum outer body , usb c charging from either side of the chrombooke , backit keyboard , nice screen resolution and fast processor ."], "output": "[['processor', 'cpu operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["then about 3 months in , it quit charging from the supplied fast charger ."], "output": "[['fast charger', 'power_supply operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i can plug it in and put it back to sleep and it will charge , but if i haven ' t woken it up it won ' t begin to charge ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the speaker crackling i can live with as i just need to logout and re - log in to fix it for about a week ."], "output": "[['speaker', 'multimedia_devices operation_performance', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the charging issue i can live with as well , even though it is annoying ."], "output": "[['charging', 'power_supply operation_performance', 'negative', 'annoying']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i would look elsewhere for a convertible chrombook , this one just doesn ' t quite live up expectactions ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the design is very cool ."], "output": "[['design', 'laptop design_features', 'positive', 'cool']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it has a good blend of functionality and performance at a great price point ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'good'], ['NULL', 'laptop price', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i especially loved the high ( er ) resolution display , compared to most other chromebooks ."], "output": "[['display', 'display quality', 'positive', 'loved']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["wifi was pretty bad ."], "output": "[['wifi was', 'ports quality', 'negative', 'bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["linux worked fairly well , and i was pretty pleased with it overall ."], "output": "[['linux', 'os operation_performance', 'positive', 'well'], ['NULL', 'laptop operation_performance', 'positive', 'pleased']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["as of the time of writing , the audio drivers are still not working , but i typically don ' t care for that anyways ."], "output": "[['audio drivers', 'software operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["chromeos did well on this device , but i didn ' t like the scaling it did at higher resolutions ."], "output": "[['chromeos', 'os operation_performance', 'positive', 'well'], ['chromeos', 'os operation_performance', 'negative', \"' t like\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but it lost the coil whine roulette - - badly ."], "output": "[['NULL', 'laptop design_features', 'negative', 'badly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["long story short , i loved asus and have been buying them for years ."], "output": "[['asus', 'company general', 'positive', 'loved']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m in the us and asus wanted to charge me $ 60 cad for diagnosis only , and then said it would be an additional estimated $ 315 for repair ."], "output": "[['asus', 'support operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s a real asus hasn ' t been able to improve their customer service and support and won ' t fix this issue ."], "output": "[['customer service and support', 'support quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it just is missing a lot of other features that i wanted in a notebook"], "output": "[['notebook', 'laptop design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["vlc media player from the chrome app store did not have the capability to play any media from my external ssd that was in a usb 3 ."], "output": "[['vlc media player', 'software operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the machine is easy to use , snappy , and everything the reviewers say ."], "output": "[['machine', 'laptop usability', 'positive', 'easy'], ['machine', 'laptop usability', 'positive', 'snappy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the main bad for this particular variant is that google is no longer going to support it with updates ."], "output": "[['google', 'support general', 'negative', 'bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so be forwarded , if you buy this , you are jumping right into a machine that won ' t get updates anymore ( which is something most chromebook owners want and a feature that makes them better than android and it ' s fragmented market ) ."], "output": "[['machine', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["many apps won ' t download and work on it like they do on an ellipsis ."], "output": "[['apps', 'software operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["asus has not responded to numerous request for an update of the status of repair ."], "output": "[['asus', 'company general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["while under the warranty , asus sent me a fedex account with no instructions ."], "output": "[['asus', 'support general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but today i noticed it ' s cracking ( ref : pics ) ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'cracking']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i bought this as a gift and was incredibly disappointed as it did n ' t even turn on after the initial charging ."], "output": "[['NULL', 'laptop general', 'negative', 'disappointed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very disappointed and i have n ' t even had the product for 12 hours ."], "output": "[['product', 'laptop general', 'negative', 'disappointed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i loved everything about this chromebook until it stop charging 2 moths after perches , light just keeps flashing green ."], "output": "[['chromebook', 'laptop general', 'positive', 'loved'], ['chromebook', 'power_supply general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the product came highly recommended ."], "output": "[['product', 'laptop general', 'positive', 'recommended']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is not an inexpensive product , especially for a chrome book but , i figured you get what you pay for ."], "output": "[['product', 'laptop price', 'negative', 'not an inexpensive'], ['product', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["yay amazon customer service they replaced it immediately for me no questions asked ."], "output": "[['amazon customer service', 'support general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the second one arrived , i had it from end of may june , to september started to notice the a key was a bit unresponsive at times ."], "output": "[['a key', 'keyboard operation_performance', 'negative', 'unresponsive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it gets rave reviews both on the ' net and amazon ."], "output": "[['NULL', 'laptop general', 'positive', 'rave']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["in many ways , the computer has lived up to my expectations ."], "output": "[['computer', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is the nicest chrome computer i have ever owned ."], "output": "[['chrome computer', 'laptop general', 'positive', 'nicest']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it has one serious flaw though which is that the audio out can not drive headphones ( or earbuds ) adequately ."], "output": "[['audio out', 'multimedia_devices operation_performance', 'negative', 'flaw']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["even with the volume turned up all the way , the sound is very low which means that you have a poor soundstage ."], "output": "[['sound', 'multimedia_devices operation_performance', 'negative', 'low']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the one star is for warranty support ."], "output": "[['warranty support', 'support general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["after about 60 days use the power adapter / charger stopped working ."], "output": "[['power adapter / charger', 'power_supply operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- i love the chromebook overall"], "output": "[['chromebook', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- it freezes up depending on the program you use and you have to restart it ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- battery sucks ."], "output": "[['battery', 'battery operation_performance', 'negative', 'sucks']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- horrible customer service ."], "output": "[['customer service', 'support quality', 'negative', 'horrible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["build quality is excellent ( was ."], "output": "[['build quality', 'laptop design_features', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["online support from asus says they only repair not replace ."], "output": "[['online support', 'support general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is my 3rd chromebook and it is , by far , the flakiest one i ' ve had ."], "output": "[['chromebook', 'laptop general', 'negative', 'flakiest']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the bluetooth on it drops connections on a regular basis and the wifi is slow , slow , slow to connect on a regular basis ."], "output": "[['bluetooth', 'ports operation_performance', 'negative', 'NULL'], ['wifi', 'ports operation_performance', 'negative', 'slow'], ['wifi', 'ports operation_performance', 'negative', 'slow'], ['wifi', 'ports operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the space bar on the keyboard is inconsistent ."], "output": "[['space bar', 'keyboard quality', 'negative', 'inconsistent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["works great as a chromebook but chromebooks are still very limited for android compatibility , at least this one is ."], "output": "[['chromebook', 'laptop operation_performance', 'positive', 'great'], ['chromebooks', 'laptop usability', 'negative', 'limited']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my main gripe is incompatibility with amazon prime videos and gogo ."], "output": "[['amazon prime videos and gogo', 'software usability', 'negative', 'gripe']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["about half of my home automation apps also do not work ."], "output": "[['home automation apps', 'software operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it works well for internet browsing and e - mail but i was hoping for much more ."], "output": "[['NULL', 'os operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i also hate the square rather than rounded edges ."], "output": "[['edges', 'hardware design_features', 'negative', 'hate']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this makes it uncomfortable holding it in tablet mode ."], "output": "[['tablet mode', 'laptop design_features', 'negative', 'uncomfortable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["maybe i just got a lemon , but i decided to return this product after having it for less than two hours ."], "output": "[['product', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["as a computer , for typing and using internet in general , this computer is good ."], "output": "[['NULL', 'laptop general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["however , for using it as a tablet / computer with streaming , it seems to only work half the time ."], "output": "[['tablet / computer with streaming', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["netflix and hulu seem to be working for the most part so far , but amazon prime and xfinity stream are both having issues ."], "output": "[['netflix', 'software operation_performance', 'neutral', 'NULL'], ['hulu seem', 'software operation_performance', 'neutral', 'NULL'], ['amazon prime', 'software operation_performance', 'negative', 'NULL'], ['xfinity stream', 'software operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have had the computer for four months , and my computer suddenly wo n ' t turn ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so i call asus customer support , and received some of the worst customer service ever ."], "output": "[['asus customer support', 'support general', 'negative', 'worst'], ['customer service', 'support general', 'negative', 'worst']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the computer is great , but the charger is garbage ."], "output": "[['computer', 'laptop general', 'positive', 'great'], ['charger', 'power_supply general', 'negative', 'garbage']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it was terrible ."], "output": "[['NULL', 'laptop general', 'negative', 'terrible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so a for the computer , f for the charger , and a d for the customer support ."], "output": "[['computer', 'laptop general', 'positive', 'a'], ['charger', 'power_supply general', 'negative', 'f'], ['customer support', 'support general', 'negative', 'd']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very odd operating system ."], "output": "[['operating system', 'os general', 'negative', 'odd']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great except came with a bad left hinge ."], "output": "[['NULL', 'laptop general', 'positive', 'great'], ['hinge', 'hardware quality', 'negative', 'bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["asus support seems to want to make this an accidental damage instead of warranty ."], "output": "[['asus support', 'support operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i can ' t recommend purchasing this based on what happens if you need support ."], "output": "[['NULL', 'laptop general', 'negative', \"' t recommend\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the build quality , screen and keyboard are terrific ."], "output": "[['build quality', 'laptop design_features', 'negative', 'terrific'], ['screen', 'display quality', 'negative', 'terrific'], ['keyboard', 'keyboard quality', 'negative', 'terrific']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["unfortunately , the downfall for me are the speakers ."], "output": "[['speakers', 'multimedia_devices quality', 'negative', 'downfall']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["they just don ' t get loud enough and that ' s crucial for me since i watch a lot of youtube and listen to music while doing other things on the machine ."], "output": "[['machine', 'multimedia_devices operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it surfs the internet fast ."], "output": "[['NULL', 'laptop connectivity', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the touch screen broke four months after i purchased it ."], "output": "[['touch screen', 'display quality', 'negative', 'broke']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the key board and mouse pad are not very sensitive ."], "output": "[['key board', 'keyboard quality', 'negative', 'not very sensitive'], ['mouse pad', 'keyboard quality', 'negative', 'not very sensitive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the sound and screen quality is low ."], "output": "[['sound', 'multimedia_devices quality', 'negative', 'low'], ['screen quality', 'display quality', 'negative', 'low']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["disappointing battery life , even with light use i have to recharge every 4 - 5 hours ( at best ) ."], "output": "[['battery life', 'battery operation_performance', 'negative', 'disappointing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["relatively small screen with high resolution makes reading the screen difficult ."], "output": "[['screen', 'display usability', 'negative', 'difficult']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["android ` ` the computer will recognize your cellphone ` ` system never works ."], "output": "[['system', 'software operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["otherwise , build quality is very good , starts quickly , very light ."], "output": "[['build quality', 'laptop quality', 'positive', 'good'], ['NULL', 'laptop design_features', 'positive', 'light']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["when it works it ' s a great device ."], "output": "[['device', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["sadly after barely a year old it crashes all the time , the touch screen rarely works , and the track pad stops working until a reboot on occasion ."], "output": "[['touch screen', 'display operation_performance', 'negative', 'NULL'], ['track pad', 'keyboard operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["asus support is responsive but ineffective ."], "output": "[['asus support', 'support quality', 'positive', 'responsive'], ['asus support', 'support quality', 'positive', 'ineffective']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i will never buy another asus after this experience ."], "output": "[['asus', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i bought this less than 6 months ago , and now it won ' t charge unless it ' s asleep ."], "output": "[['NULL', 'power_supply operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s basically a useless brick , with shoddy hardware ."], "output": "[['NULL', 'laptop general', 'negative', 'useless'], ['hardware', 'hardware quality', 'negative', 'shoddy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the computer is nice , blah blah it has nice features but it stops working after a few months ."], "output": "[['computer', 'laptop general', 'positive', 'nice'], ['NULL', 'laptop design_features', 'positive', 'NULL'], ['NULL', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["don ' t let them scam you ."], "output": "[['NULL', 'support general', 'negative', 'scam']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["oh and the customer service is garbage ."], "output": "[['customer service', 'support general', 'positive', 'garbage']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great little machine while it was functioning 100 % ."], "output": "[['machine', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very unsatisfied with warranty service ."], "output": "[['warranty service', 'warranty general', 'negative', 'unsatisfied']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my shiny speedy asus chromebook froze after only one month of use and i am returning it today for a full refund ."], "output": "[['asus chromebook', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["cursor won ' t move and touchscreen won ' t work and from reading about this online i am not alone with this issue ."], "output": "[['cursor', 'keyboard operation_performance', 'negative', 'NULL'], ['touchscreen', 'display operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["product worked great until it randomly stopped charging ."], "output": "[['product', 'laptop operation_performance', 'positive', 'great'], ['product', 'power_supply operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["extremely disappointed as this was a gift to my husband ."], "output": "[['NULL', 'laptop general', 'negative', 'disappointed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i bought this chrome book based on the high ratings , however i feel the quality just is n ' t up to par for the price i paid ."], "output": "[['NULL', 'laptop quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["today , it stopped powering on ."], "output": "[['NULL', 'power_supply operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve been chatting with asus support for the past half hour and they make the sloth from zootopia look speedy ."], "output": "[['asus support', 'support general', 'negative', 'sloth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so sad to report that after only a few weeks my asus chromebook has a hairline fracture ."], "output": "[['asus chromebook', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the touch screen never seemed to work properly and now i understand why ."], "output": "[['touch screen', 'display operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this one is pretty , but obviously not sturdy ."], "output": "[['NULL', 'laptop design_features', 'positive', 'pretty'], ['NULL', 'laptop design_features', 'negative', 'not sturdy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this was a splurge for myself , which i rarely do , and i ' m so disappointed that it turned out like this ."], "output": "[['NULL', 'laptop general', 'negative', 'disappointed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is a great machine in many ways - - and with crouton could run full ubuntu , which made it a great little machine to write code on and deploy to a server ."], "output": "[['machine', 'laptop general', 'positive', 'great'], ['NULL', 'laptop operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["nice screen , nice feel ."], "output": "[['screen', 'display quality', 'positive', 'NULL'], ['screen', 'display quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i love the way it looks and feels the only thing i can complain about is the fact that none of these electronics come with printed manuels anymore also dont know anything about the camera only see me ."], "output": "[['NULL', 'laptop design_features', 'positive', 'love'], ['camera', 'multimedia_devices usability', 'negative', 'complain']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall this chromebook worked well and was reliable ."], "output": "[['chromebook', 'laptop operation_performance', 'positive', 'well'], ['chromebook', 'laptop operation_performance', 'positive', 'reliable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the wifi card recently died after 14 months ."], "output": "[['wifi card', 'hardware operation_performance', 'negative', 'died']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["now , my wifi connectivity goes up and down with regularity ."], "output": "[['wifi connectivity', 'ports connectivity', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["not super confident this asus unit will last half that long ."], "output": "[['asus unit', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s not worth what i paid for it ."], "output": "[['it', 'laptop general', 'negative', 'not worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i will never buy an apple product again ."], "output": "[['apple product', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["beautiful machine ."], "output": "[['machine', 'laptop design_features', 'positive', 'beautiful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["app game ( simpsons tapped out ) ( i know don ' t judge ) lags at every moment ."], "output": "[['app game', 'software operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["chromebook is 2 months old and charger stopped working ."], "output": "[['charger', 'power_supply operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["called customer service twice only to learn that i need to return old charger ( i pay $ 15 to return ) ."], "output": "[['customer service', 'support general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["there is a buzzing sound that comes from inside of the keyboard ."], "output": "[['keyboard', 'keyboard operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["excellent product , feels like quality all the way around ."], "output": "[['product', 'laptop quality', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["product keyboard just stopped working after 6 months of use - called asus , and you have to ship it off for a two weeks repair ."], "output": "[['keyboard', 'keyboard operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the chromebook seems to be working fine now and my daughter does love it ."], "output": "[['chromebook', 'laptop general', 'positive', 'fine'], ['chromebook', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is exactly what i needed in a laptop ."], "output": "[['laptop', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["however , the speakers are already starting to crackle , and i haven ' t even had the thing for a week ."], "output": "[['speakers', 'multimedia_devices operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i still love the laptop , i ' m just a bit disappointed by this and i hope it ' s the only issue i see ."], "output": "[['laptop', 'laptop general', 'neutral', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the battery is far below what i expected ."], "output": "[['battery', 'battery quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this computer seemed very exciting but after having troubles with 3 of them i give up ."], "output": "[['computer', 'laptop general', 'positive', 'exciting'], ['computer', 'laptop quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["moreover i ' m quite upset because it seems amazon will not pay me back the shipping fees , which for me amount to about 100 $ as i live in france ."], "output": "[['amazon', 'shipping general', 'negative', 'upset']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the track pad has now stopped working ."], "output": "[['track pad', 'keyboard operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is my only device with this issue in my home ."], "output": "[['device', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i think it works well except for the wifi which is spotty ."], "output": "[['NULL', 'laptop general', 'positive', 'well'], ['wifi', 'laptop connectivity', 'negative', 'spotty']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it keeps disconnecting ."], "output": "[['NULL', 'laptop connectivity', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["in total , it took 4 updates to access the google play store - - completely unacceptable !"], "output": "[['google play store', 'software usability', 'negative', 'unacceptable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["up until this point , asus chromebooks have been my favorite ."], "output": "[['asus chromebooks', 'laptop general', 'positive', 'favorite']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i chose this device because of its power , app store , and a few other features trading off the option for an onboard stylus and improved screen resolution ."], "output": "[['power', 'power_supply general', 'positive', 'NULL'], ['app store', 'software general', 'positive', 'NULL'], ['screen resolution', 'display quality', 'positive', 'improved']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it also has a great backlit keyboard ."], "output": "[['backlit keyboard', 'keyboard design_features', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i love how i can charge my laptop on both sides of the device ."], "output": "[['laptop', 'laptop design_features', 'positive', 'love'], ['device', 'laptop design_features', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["wifi sketchy to nonexistent ."], "output": "[['wifi', 'ports quality', 'negative', 'sketchy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i much suspect that google ' s half baked sustem is at fault ."], "output": "[[\"google ' s half baked sustem\", 'os general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i liked the look , the speed , and the quality of the device but two had problems and not giving it a 3rd try ."], "output": "[['look', 'laptop design_features', 'positive', 'liked'], ['speed', 'laptop operation_performance', 'positive', 'liked'], ['device', 'laptop quality', 'positive', 'liked'], ['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s great other than the weak speakers and the touchpad ."], "output": "[['NULL', 'laptop general', 'positive', 'great'], ['speakers', 'multimedia_devices general', 'negative', 'NULL'], ['touchpad', 'keyboard general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["not only is the touchpad not great in use but it also feels poorly made ."], "output": "[['touchpad', 'keyboard operation_performance', 'negative', 'not great'], ['touchpad', 'keyboard design_features', 'negative', 'poorly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have been happy with this purchase ."], "output": "[['NULL', 'laptop general', 'negative', 'happy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["10 months in my battery will no longer charge ."], "output": "[['battery', 'battery operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the first week i had my chromebook it locked up ."], "output": "[['chromebook', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["bought this specific unit because quality is well reviewed here and online albeit at 2x average chrome book price ."], "output": "[['specific unit', 'laptop quality', 'positive', 'well'], ['specific unit', 'laptop price', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["look and feel of asus unit seems high quality but keyboard failed in 45 days ."], "output": "[['asus unit', 'laptop quality', 'positive', 'high'], ['keyboard', 'keyboard operation_performance', 'negative', 'failed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i opened the box after ordering on black friday , and the machine wouldn ' t charge ."], "output": "[['machine', 'power_supply operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the battery stopped charging after 3 months ."], "output": "[['battery', 'battery operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["customer service is difficult ."], "output": "[['customer service', 'support operation_performance', 'negative', 'difficult']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["also battery life is max 8 hours , not 10 ."], "output": "[['battery life', 'battery operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["however , the resolution could be higher , the scaling is bad , the colors are a bit washy , the weight is off as said earlier , the keys are kinda awkward , travel could be more , and the keys start squeaking soon after use"], "output": "[['resolution', 'display quality', 'neutral', 'NULL'], ['scaling', 'software general', 'negative', 'bad'], ['colors', 'display general', 'negative', 'washy'], ['NULL', 'laptop general', 'neutral', 'NULL'], ['keys', 'keyboard general', 'negative', 'awkward'], ['keys', 'keyboard quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this product is built well , but it won ' t run the one android app i hoped it would run , and for whatever reason the app and os update download speeds are abysmal ."], "output": "[['product', 'laptop design_features', 'positive', 'well'], ['app and os update download speeds', 'laptop operation_performance', 'negative', 'abysmal']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but , now i realize the design is flawed ."], "output": "[['design', 'laptop design_features', 'negative', 'flawed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["and the worst customer service ever !"], "output": "[['customer service', 'support quality', 'negative', 'worst']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this laptop was supposed to be in ` ` like new ` ` condition but unfortunately , it was not ."], "output": "[['laptop', 'laptop design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["after updating the software i noticed that the was a lot of backlight bleeding from the display ."], "output": "[['display', 'display quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["upon further inspection , i had noticed that one of the side speakers was pushed in and the plastic surrounding it had a crack ."], "output": "[['side speakers', 'multimedia_devices design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["only three months in , and the laptop won ' t charge ."], "output": "[['laptop', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["something wrong with the battery ."], "output": "[['battery', 'battery quality', 'negative', 'wrong']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard broke after three months and it has been difficult to get any help from the manufacturer ."], "output": "[['keyboard', 'keyboard quality', 'negative', 'broke']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the second the screen did not rotate ."], "output": "[['screen', 'display operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["and the screen was changing like creazy ."], "output": "[['screen', 'display operation_performance', 'negative', 'creazy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["worked great for a couple of months , but now the sound goes in and out after a couple minutes of use like watching a video or playing music ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'great'], ['sound', 'multimedia_devices operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but right out the box the battery will not charge ."], "output": "[['battery', 'battery operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i loved this chromebook but i had to return it bevause it had sound issues ."], "output": "[['chromebook', 'laptop general', 'positive', 'loved'], ['sound', 'multimedia_devices operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this worked ok for about a year and then just totally died ."], "output": "[['NULL', 'laptop operation_performance', 'neutral', 'ok'], ['NULL', 'laptop operation_performance', 'positive', 'died']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["had the chromebook for 1month and 5 days and it stopped charging ."], "output": "[['chromebook', 'battery operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very good in all respects except a very important one which is the pathetic sound volume especially during movie playback ."], "output": "[['sound volume', 'multimedia_devices operation_performance', 'negative', 'pathetic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["on the higher end for chromebook , but it looked really nice and had a good features and reviews , was in love with it until the power failed last november ."], "output": "[['chromebook', 'laptop design_features', 'positive', 'nice'], ['chromebook', 'laptop design_features', 'positive', 'good'], ['chromebook', 'laptop design_features', 'positive', 'love'], ['power', 'power_supply operation_performance', 'negative', 'failed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["a thoroughly disappointing machine ."], "output": "[['machine', 'laptop general', 'negative', 'disappointing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["mouse and wi - fi never functioned correctly ."], "output": "[['mouse', 'keyboard operation_performance', 'negative', 'never functioned correctly'], ['wi - fi', 'ports operation_performance', 'negative', 'never functioned correctly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["machine periodically crashed ."], "output": "[['machine', 'laptop operation_performance', 'negative', 'crashed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["after seven months , the usb - c ports stopped charging ."], "output": "[['usb - c ports', 'ports operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["now the hole thing crashed out of nowhere and i ' m going to lose everything i had on it ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'crashed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["+ nice , large screen"], "output": "[['screen', 'display design_features', 'positive', 'nice'], ['screen', 'display design_features', 'positive', 'large']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["+ good battery life"], "output": "[['battery life', 'battery quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["+ play store compatibility is available now ."], "output": "[['play store', 'software general', 'positive', 'available']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["some apps don ' t play well yet , but should with time ."], "output": "[['some apps', 'software operation_performance', 'neutral', \"' t play well\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- although the screen is nice , the screen ratio is not optimal when using it as a tablet ."], "output": "[['screen', 'display general', 'positive', 'nice'], ['screen ratio', 'display operation_performance', 'negative', 'not optimal']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- 3 months after purchase , the chromebook has issues with the screen flickering constantly and has been sent in to asus for repairs"], "output": "[['screen', 'display operation_performance', 'negative', 'NULL'], ['chromebook', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- the rma process needs improvement - buyer must pay to return the product for repair ."], "output": "[['rma process', 'hardware quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["chromebooks are a waste of time / money ."], "output": "[['chromebooks', 'laptop general', 'negative', 'waste']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so disappointing to receive the laptop and it wouldn ' t even power up ."], "output": "[['laptop', 'laptop operation_performance', 'negative', 'disappointing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["when in use , the lower screen is flickering ."], "output": "[['screen', 'display operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i contacted asus support twice so far , however , they are not able to provide a solution to choppy video ."], "output": "[['asus support', 'support general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the performance of my chromebook is the issue ."], "output": "[['chromebook', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["video playback is poor with the amazon prime video player ."], "output": "[['amazon prime video player', 'software operation_performance', 'negative', 'poor']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great device until battery won ' t charge ."], "output": "[['device', 'laptop general', 'positive', 'great'], ['battery', 'battery quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["really disappointing results with sound volume and volume consistency ."], "output": "[['sound volume', 'multimedia_devices operation_performance', 'negative', 'disappointing'], ['volume consistency', 'multimedia_devices operation_performance', 'negative', 'disappointing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the aluminum body looks great , but feels cheap and thin ."], "output": "[['aluminum body', 'hardware design_features', 'positive', 'great'], ['aluminum body', 'hardware design_features', 'positive', 'cheap'], ['aluminum body', 'hardware design_features', 'positive', 'thin']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["speakers are weak and the volume range tops off half way ."], "output": "[['speakers', 'multimedia_devices operation_performance', 'negative', 'weak']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i just fear for the long term ruggedness of the exterior ."], "output": "[['exterior', 'hardware general', 'negative', 'fear']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["after 3 weeks using this flip , i am quite happy with its performance , design ."], "output": "[['flip', 'laptop operation_performance', 'positive', 'happy'], ['flip', 'laptop design_features', 'positive', 'happy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s easy to use , convenient ."], "output": "[['NULL', 'laptop usability', 'positive', 'easy'], ['NULL', 'laptop usability', 'positive', 'convenient']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard is comfortable to type with backlit , screen quality is good enough for me ."], "output": "[['keyboard', 'keyboard design_features', 'positive', 'comfortable'], ['screen quality', 'display quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["thin , light , cool are what i feel when holding it and carry around ."], "output": "[['NULL', 'laptop design_features', 'positive', 'thin'], ['NULL', 'laptop design_features', 'positive', 'light'], ['NULL', 'laptop design_features', 'positive', 'cool']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the reason for 3 stars is due to that i have a rickety feeling when touching middle of the right side frame of the screen , it doesn ' t affect to screen , i am not sure it is faulty or normal , kind of uncomfortable to hold in tablet mode ."], "output": "[['tablet mode', 'laptop usability', 'negative', 'uncomfortable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the screen is nice ."], "output": "[['screen', 'display general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["google play support is lip service only ."], "output": "[['google play support', 'support quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the problem dinvolves the headphone jack ."], "output": "[['headphone jack', 'multimedia_devices general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it would not charge at all !"], "output": "[['NULL', 'battery operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is a great laptop ."], "output": "[['laptop', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it has a weird smell that ' s why i ' m giving it 3 stars ."], "output": "[['NULL', 'laptop design_features', 'negative', 'weird']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i wanted a large screen laptop with backlit keyboard and a lot of memory and this computer does not disappoint ."], "output": "[['screen', 'display design_features', 'positive', 'large'], ['backlit keyboard', 'keyboard general', 'positive', 'NULL'], ['memory', 'memory general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the notebook is decent ."], "output": "[['notebook', 'laptop general', 'positive', 'decent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is easy to use , light , and you have the ability to download apps for just about any need ."], "output": "[['NULL', 'laptop portability', 'positive', 'easy'], ['NULL', 'laptop design_features', 'positive', 'light']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["however , the bluetooth is a nightmare ."], "output": "[['bluetooth', 'ports general', 'negative', 'nightmare']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it just stopped working in the middle of my paper i was writing ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the screen is good , the tablet mode is nice , and the keyboard has a good feel ."], "output": "[['screen', 'display general', 'positive', 'good'], ['tablet mode', 'laptop general', 'positive', 'nice'], ['keyboard', 'keyboard design_features', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but after three charge cycles the screen started vibrating vigorously from side - to - side ."], "output": "[['screen', 'display operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the tablet is good also , however can ' t they design something that covers the keyboard during tablet mode ."], "output": "[['tablet', 'os design_features', 'neutral', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is the best chromebook that i have ever used ."], "output": "[['chromebook', 'laptop general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["both forward and rear facing cameras would be nice too ."], "output": "[['cameras', 'multimedia_devices general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great product ( perfect for student use ) but did n ' t last past 2 months ."], "output": "[['product', 'laptop general', 'positive', 'great'], ['product', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["then the power cord went bad and i had to pay $ 50 for a new one ."], "output": "[['power cord', 'power_supply general', 'negative', 'bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s fine as a computer , but the lack of a real guest account made it not workable as a family room media machine ."], "output": "[['guest account', 'software general', 'negative', 'not workable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["hardware is still pretty sound ."], "output": "[['hardware', 'hardware operation_performance', 'positive', 'sound']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but i ' m growing ever more disenchanted with the core m3 processing speed ."], "output": "[['core m3', 'cpu operation_performance', 'negative', 'disenchanted']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["also , the batterly life that is reported by industry affiliates is way off ."], "output": "[['batterly life', 'battery quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["google locked me out because after an update , my keyboard output was not as it should have been ( some keys were inverted ) ."], "output": "[['keyboard output', 'keyboard operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["when i go to type something , it sticks and will not release ."], "output": "[['NULL', 'keyboard operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i will probably be sending it back as it seems too complicated ."], "output": "[['NULL', 'laptop general', 'negative', 'complicated']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["by far this is the most disappointing experiences that i ever had doing online shopping ."], "output": "[['NULL', 'laptop general', 'negative', 'disappointing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["at this stage i am disappointed than raging up and it wasn ' t the end yet the keyboard didn ' t work at all ."], "output": "[['keyboard', 'keyboard operation_performance', 'negative', 'disappointed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["nice chromebook ."], "output": "[['chromebook', 'laptop general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but seemed very poorly made for the money ."], "output": "[['NULL', 'laptop quality', 'negative', 'poorly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is may 14 and it ' s not connecting to wifi ."], "output": "[['wifi', 'ports connectivity', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it won ' t hold a charge for longer than an hour , my son has to relay on this piece of cheap equipment primarily for taking notes and doing schoolwork ."], "output": "[['equipment', 'power_supply operation_performance', 'negative', 'NULL'], ['equipment', 'laptop price', 'neutral', 'cheap']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["nice piece but battery holds only 3h - not 10 ."], "output": "[['NULL', 'laptop general', 'positive', 'nice'], ['battery', 'battery operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["manufacturing seems unreliable ."], "output": "[['manufacturing', 'laptop quality', 'negative', 'unreliable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["also , often , the device simply would not power on ."], "output": "[['device', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["loved this chromebook ."], "output": "[['chromebook', 'laptop general', 'positive', 'loved']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["first one i received , the space bar got stuck and returned it for a replacement ."], "output": "[['space bar', 'keyboard operation_performance', 'negative', 'stuck']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["now , the headphone jack produces low volume at 10 percent capacity ."], "output": "[['headphone jack', 'multimedia_devices operation_performance', 'negative', 'low']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the laptop is pretty lightweight ."], "output": "[['laptop', 'laptop design_features', 'positive', 'lightweight']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["cons : the speakers make a loud muffled white noise while playing music on occasion ."], "output": "[['speakers', 'multimedia_devices operation_performance', 'negative', 'cons']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["on the one i received , the trackpad is hard to press down and seems to rub against the palm rest casing ."], "output": "[['trackpad', 'keyboard design_features', 'negative', 'hard']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["screen is good ."], "output": "[['screen', 'display general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is not up to my expectations , it produces some kind of sound when you play something on youtube ( from its keyboard ) perhaps !"], "output": "[['sound', 'multimedia_devices operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my main complain involves terrible battery life ."], "output": "[['battery life', 'battery quality', 'negative', 'terrible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["speakers were messed up when turned on and the return did it still have n ' t processed even though it ' s been several weeks ."], "output": "[['speakers', 'multimedia_devices quality', 'negative', 'messed up']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very poor battery life ."], "output": "[['battery life', 'battery quality', 'negative', 'poor']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this computer was phenomenal for 12 days and then the charger broke and it is no longer functional ."], "output": "[['computer', 'laptop operation_performance', 'positive', 'phenomenal'], ['charger', 'power_supply operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very touchy touch screen , too sensitive ."], "output": "[['touch screen', 'display operation_performance', 'negative', 'touchy'], ['touch screen', 'display operation_performance', 'negative', 'sensitive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is the worst computer i have ever owned ."], "output": "[['computer', 'laptop general', 'negative', 'worst']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["however , after having the computer for about 4 months it suddenly died one day and would not turn on ."], "output": "[['computer', 'laptop operation_performance', 'negative', 'died']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["udpate : after talking to tech support , i found out that they made the wrong repair ."], "output": "[['tech support', 'support operation_performance', 'negative', 'wrong']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["worst customer service experience in years ."], "output": "[['customer service', 'support general', 'negative', 'worst']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the screen is great and the unit is fast ."], "output": "[['screen', 'display general', 'positive', 'great'], ['unit', 'laptop operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very disappointed in very bad tech support ."], "output": "[['tech support', 'support general', 'negative', 'disappointed'], ['tech support', 'support general', 'negative', 'bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is a piece of garbage ."], "output": "[['NULL', 'laptop general', 'negative', 'garbage']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["then tonight ( april 29th ) my daughter says it ' s not charging ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["bad touchpad , jerky movement , imprecise , no controls to improve ."], "output": "[['touchpad', 'keyboard operation_performance', 'negative', 'bad'], ['touchpad', 'keyboard operation_performance', 'negative', 'jerky'], ['touchpad', 'keyboard operation_performance', 'negative', 'imprecise']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["wifi radio loses signal too frequently ."], "output": "[['wifi radio', 'ports operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it began to shut down and restart all on it ' s own - continuously ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it sounded clean and simple , exactly what we need ."], "output": "[['NULL', 'multimedia_devices quality', 'positive', 'clean'], ['NULL', 'multimedia_devices quality', 'positive', 'simple']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very very very very weak battery and the play store is a joke , this thing still needs a lot of work to become a serious product ."], "output": "[['battery', 'battery general', 'negative', 'weak'], ['play store', 'software general', 'negative', 'joke'], ['product', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["beyond that , less than a week into the ownership trial , the power _ supply failed ."], "output": "[['power _ supply failed', 'power_supply operation_performance', 'negative', '.']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but basic stuff needs to be properly engineered and designed , and this machine had two huge problems right out of the gate ."], "output": "[['machine', 'laptop design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["good laptop , but not great ."], "output": "[['laptop', 'laptop general', 'positive', 'good'], ['laptop', 'laptop general', 'neutral', 'not great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the screen is only pretty good ."], "output": "[['screen', 'display general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the touchpad is above average , but not great ."], "output": "[['touchpad', 'keyboard general', 'positive', 'above average'], ['touchpad', 'keyboard general', 'neutral', 'not great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["why does this company keep releasing faulty units from the production line ?"], "output": "[['company', 'company operation_performance', 'negative', 'NULL'], ['units', 'laptop general', 'negative', 'faulty']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["2 - right arrow key not stabilized within the body and comes off ."], "output": "[['right arrow key', 'keyboard operation_performance', 'negative', 'not stabilized']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- display glass not glued well on one side ."], "output": "[['display glass', 'display quality', 'negative', 'not glued well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["screen not aligned perfectly ."], "output": "[['screen', 'display operation_performance', 'negative', 'not aligned perfectly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i purchased this asus chromebook in may of 2018 and initially loved it ."], "output": "[['asus chromebook', 'laptop general', 'positive', 'loved']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is my third and last chromebook ."], "output": "[['chromebook', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it wouldn ' t charge ."], "output": "[['NULL', 'battery operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i really wanted to like this chromebook ."], "output": "[['chromebook', 'laptop general', 'negative', 'wanted to like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["unfortunately , the touchscreen is extremely insensitive , making it unusable ."], "output": "[['touchscreen', 'display quality', 'negative', 'insensitive'], ['touchscreen', 'display quality', 'negative', 'unusable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["everything was good for a few days after receiving the product ."], "output": "[['product', 'laptop general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very disappointing in an otherwise great product"], "output": "[['product', 'laptop general', 'negative', 'disappointing'], ['product', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the unit is sleek , nice and the keyboard feels tactily right ."], "output": "[['unit', 'laptop general', 'positive', 'sleek'], ['unit', 'laptop general', 'positive', 'nice'], ['keyboard', 'keyboard design_features', 'positive', 'right']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but , when software compatibility began stacking up , it became a nogo for me ."], "output": "[['software', 'software operation_performance', 'negative', 'nogo']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very fast product , but with this kind of technology it ' s not possible to use a program , that i work ( minitab ) ."], "output": "[['product', 'laptop operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m very disappointed with my purchase"], "output": "[['NULL', 'laptop general', 'negative', 'disappointed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["cpu and ram were running low ."], "output": "[['cpu', 'cpu operation_performance', 'negative', 'low'], ['ram', 'hard_disc operation_performance', 'negative', 'low']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["gpu wasn ' t drawing a lot of power because i was playing world of warcraft on the recommended settings ."], "output": "[['gpu', 'graphics operation_performance', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["got my replacement recently and i haven ' t had any major issues so far ."], "output": "[['NULL', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m still worried about the quality of capacitor and conductor inside this thing ."], "output": "[['capacitor', 'power_supply quality', 'negative', 'worried'], ['conductor', 'power_supply quality', 'negative', 'worried']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall , it is a great laptop for the price ."], "output": "[['laptop', 'laptop price', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the cpu runs super fast and doesn ' t start utilizing its full potential until you start doing things like installation of applications , but the memory usage sits around 40 - 50 % the most of the time ."], "output": "[['cpu', 'cpu operation_performance', 'positive', 'fast'], ['memory', 'memory operation_performance', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my fan can get it as low as 82 - 83 degrees , consistently , while idle or gaming ."], "output": "[['fan', 'fans&cooling operation_performance', 'positive', 'low']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the steelsteries keyboard feels great and looks awesome , but the keyboard surface of the laptop can get warm while sitting idle or gaming even when i have a fan pushing cold air underneath the laptop ."], "output": "[['steelsteries keyboard', 'keyboard general', 'positive', 'great'], ['steelsteries keyboard', 'keyboard design_features', 'positive', 'awesome']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the monitor is bright and colorful ."], "output": "[['monitor', 'display design_features', 'positive', 'bright'], ['monitor', 'display design_features', 'positive', 'colorful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i don ' t see any problems with it ."], "output": "[['NULL', 'display operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["keeping the msi software is optional , a few of these are useful like burnrecovery to make a backup of your version of windows just in case anything happens ."], "output": "[['msi software', 'software general', 'neutral', 'optional'], ['burnrecovery', 'software usability', 'positive', 'useful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i updated the realtek audio drivers and tested it using razer surround ' s audio drivers ; it still did not fix it ."], "output": "[['realtek audio drivers', 'software general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["do not purchase this laptop ."], "output": "[['laptop', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i had previouslu bought an msi mobo which refused to boot unless windows 10 was the os , but i had worked around all of those problems ."], "output": "[['msi mobo', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i should have known better : msi has boot issues , no way around it ."], "output": "[['msi', 'motherboard quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it simply refuses to boot ."], "output": "[['NULL', 'laptop quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["yet it fails to boot ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'fails']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is apparent the hard drive has failed yet again ."], "output": "[['hard drive', 'software operation_performance', 'negative', 'failed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["upon accepting a graphics driver update , the whole laptop froze ."], "output": "[['laptop', 'laptop operation_performance', 'negative', 'froze']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve never owned an msi laptop and if i can help it , this one is going back and i will never own one again ."], "output": "[['msi laptop', 'company general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["* * update - so i closed and opened this laptop again , and the simple act of putting it to sleep and waking it up , as usual , caused a problem ."], "output": "[['laptop', 'laptop quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["out of the box , gorgeous laptop ."], "output": "[['laptop', 'laptop design_features', 'positive', 'gorgeous']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["keyboard problems too ."], "output": "[['keyboard', 'keyboard general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so far great machine ."], "output": "[['machine', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the laptop ran quite swiftly !"], "output": "[['laptop', 'laptop operation_performance', 'positive', 'swiftly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the temperatures were good , and the overall responsiveness of the system was fine ."], "output": "[['temperatures', 'laptop general', 'positive', 'good'], ['responsiveness of the system', 'os operation_performance', 'positive', 'fine']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["game performance was fantastic ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'fantastic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the intel rst driver ( for the hybrid drive ) version is old , and causes rare system lockups ."], "output": "[['intel rst driver', 'software operation_performance', 'negative', 'old']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["further , the msi dragon center ( default software on the installation ) caused a blue screen which lead to me having to factory reset ."], "output": "[['msi dragon center (', 'software operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["msi used to have a driver installer by disk that would install all the proper drivers in the right order , so you ' d have the perfect configuration ."], "output": "[['driver installer', 'software design_features', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["however , the laptop has no dvd drive , and no such driver dvd was provided ."], "output": "[['laptop', 'laptop design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s possible i got bad hardware by chance , but all of the issues being directly traceable to drivers suggests the issues were all driver - related ."], "output": "[['hardware', 'hardware quality', 'negative', 'bad'], ['drivers', 'software general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["second where the heck is my other 8 gigs of ram ?"], "output": "[['8 gigs of ram', 'memory general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["its fast , light weight , quiet , and looks easy to add additional ram and hdd ' s ."], "output": "[['NULL', 'laptop design_features', 'positive', 'light'], ['NULL', 'laptop usability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i think this msi product will be a part of my business for a long time ."], "output": "[['msi product', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i bought this laptop on black friday for $ 700 and i ' m debating returning it because i ' ve had quite a few issues ."], "output": "[['laptop', 'laptop quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["im actually wondering if there is an issue with the speakers , it ' s so bad ."], "output": "[['speakers', 'multimedia_devices general', 'negative', 'bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the battery life is terrible ."], "output": "[['battery life', 'battery general', 'negative', 'terrible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["again , i wonder if my unit is defective because most reviews talk about this laptop having a 6 + hour battery life ."], "output": "[['unit', 'laptop quality', 'negative', 'defective']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["not sure it is related , but when i open facebook , aaaallllll the messages open simultaneously ."], "output": "[['facebook', 'software operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the unit is whisper quiet and hasn ' t gotten hot no matter how hard i push it ."], "output": "[['unit', 'laptop operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve never had a computer as fast as this ."], "output": "[['computer', 'laptop operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["whether i ' m playing games or video editing , or web design , it doesn ' t hesitate ."], "output": "[['NULL', 'laptop miscellaneous', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m not a huge gamer , but it can run crysis with full mods on ultra settings and doesn ' t make so much as a light hum ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["honestly , i ' m debating returning this laptop ."], "output": "[['laptop', 'laptop general', 'negative', 'debating']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["your mileage may vary but it ' s been a headache for me since i bought it ."], "output": "[['NULL', 'laptop general', 'negative', 'headache']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the battery on this computer is not very good i feel like i always have to have it plugged in ."], "output": "[['battery', 'battery quality', 'negative', 'not very good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["bad battery , speaker and touchpad"], "output": "[['battery', 'battery general', 'negative', 'bad'], ['speaker', 'hardware general', 'negative', 'bad'], ['touchpad', 'hardware general', 'negative', 'bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s fast , but the whole thing is wearing out quickly ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["however , when i received this laptop , it stopped booting to windows after 3 days ."], "output": "[['laptop', 'laptop quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the ssd is not work after 4 month"], "output": "[['ssd', 'hard_disc quality', 'negative', 'not work']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["laptop runs really well but fans get a bit loud when gaming"], "output": "[['laptop', 'laptop operation_performance', 'positive', 'well'], ['fans', 'fans&cooling operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this computer is fast , as the specs would have you believe , but i ' ve only had it about a week , and it has already crashed so bad once that i had to do a factory reset on it ( though , to be fair , the computer made the reboot super easy , so that was nice ) ."], "output": "[['computer', 'laptop operation_performance', 'positive', 'fast'], ['computer', 'laptop quality', 'negative', 'bad'], ['computer', 'laptop design_features', 'positive', 'easy'], ['computer', 'laptop design_features', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard / mousepad isn ' t super comfortable for casual use ( like on your lap , sitting on a couch ) , so i think it is more meant to be used more or less exclusively for gaming at a desk or table ."], "output": "[['keyboard / mousepad', 'hardware usability', 'negative', \"' t super comfortable\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is heavy , but that is to be expected with a laptop like this one ."], "output": "[['laptop', 'laptop design_features', 'neutral', 'heavy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["however , i tried to power it up today and kept receiving an error message right at startup that was a ` ` system boot violation ` ` ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": [", the advertised ram is 16gb and in the answer questions section has answers from the manufacturer saying ` ` this will have 16gb of memory ! ` `"], "output": "[['ram', 'memory design_features', 'negative', '16gb']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i did not get what i originally paid for ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i don ' t know if i got a defective model or what , but something has gone wrong every time i boot up my computer ."], "output": "[['computer', 'laptop quality', 'negative', 'wrong'], ['computer', 'laptop quality', 'negative', 'defective']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["not to mention it is quite clunky and large ."], "output": "[['NULL', 'laptop design_features', 'negative', 'clunky'], ['NULL', 'laptop design_features', 'negative', 'large']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["just that it seems that the hard drive doesn ' t work properly ."], "output": "[['hard drive', 'software operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i really do like this computer , however the description is wrong ."], "output": "[['computer', 'laptop general', 'positive', 'like'], ['description', 'laptop general', 'negative', 'wrong']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it only comes with 8 gb or ram not 16 ."], "output": "[['ram not', 'memory design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keys feel nice and responsive however the mouse pad is a little over responsive ."], "output": "[['keys', 'keyboard general', 'positive', 'nice'], ['keys', 'keyboard general', 'positive', 'responsive'], ['mouse pad', 'hardware operation_performance', 'negative', 'over responsive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the monitor looks fantastic , but i still cant get over the fact that you are basically lied to aboit memory availability ."], "output": "[['monitor', 'display design_features', 'positive', 'fantastic'], ['memory availability', 'memory general', 'negative', 'lied']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the responses in the faq are wrong , this does not have 16 gb of ram , almost gave it a 1 star bexause of this reason ."], "output": "[['responses', 'support general', 'negative', 'wrong']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["mousepad is a little wonky if you ' re not deliberate with your fingers , recommend using a mouse ."], "output": "[['mousepad', 'hardware operation_performance', 'negative', 'wonky']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["keyboard layout is not the best , do not like that i have to press the function key to raise or lower the volume / brightness on the arrow keys ."], "output": "[['keyboard layout is', 'keyboard design_features', 'neutral', 'not the best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the cooler boost button is cool , also like the fan placement and how the laptop is elevated in the back ."], "output": "[['cooler boost button', 'fans&cooling design_features', 'positive', 'cooler'], ['fan placement', 'fans&cooling design_features', 'positive', 'like'], ['laptop', 'laptop design_features', 'positive', 'like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["in essence , if you want a gaming pc , this one will do the job ."], "output": "[['pc', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this laptop is actually horrible ."], "output": "[['laptop', 'laptop general', 'negative', 'horrible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["everything about the experience has been terrible ."], "output": "[['NULL', 'laptop general', 'negative', 'terrible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the most recent incident is the sound wo n ' t work ."], "output": "[['sound', 'multimedia_devices quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i had this for all of a day before it began to have severe issues i set it back to factory settings and that worked for a time but it eventually had an issue with system 32 ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL'], ['system 32', 'os operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["within two months , there were too many issues / bugs with the os ."], "output": "[['os', 'os operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the screen would freeze , requiring a hard shutdown ."], "output": "[['screen', 'display operation_performance', 'negative', 'freeze']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the computer ' s hardware is decent , but the materials are poor ."], "output": "[[\"computer ' s hardware\", 'hardware general', 'positive', 'decent'], ['materials', 'laptop quality', 'negative', 'poor']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the screen is surprisingly poor ."], "output": "[['screen', 'display general', 'negative', 'poor']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it took hours to restore to factory default settings , and it crashed once again days later ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'crashed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is completely unacceptable for any computer to have this recurring issue , let alone a mid - tier performance gaming laptop ."], "output": "[['mid - tier performance gaming laptop', 'laptop quality', 'negative', 'unacceptable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i am still disastified even if this was a replacement"], "output": "[['replacement', 'laptop operation_performance', 'negative', 'disastified']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the last straw happened recently when i put it to sleep and it just wouldn ' t wake up - or rather it would try , and then spend the next several hours in a repair / analyzing mode that didn ' t actually do anything ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have had nothing but problems with it since i bought it ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["and finally today , 4 months after purchasing it , it has completely crashed ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'crashed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the computer can not repair whatever disc issues it has ."], "output": "[['computer', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this was the worst computer ever ."], "output": "[['computer', 'laptop general', 'negative', 'worst']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["do not buy this computer !"], "output": "[['computer', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so far , it all works well ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["today was my heaviest use of the new computer , and no less than 20 times have i had to undo / unscroll / unselect / unzoom ."], "output": "[['computer', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["multiple system crashes ."], "output": "[['system', 'os operation_performance', 'negative', 'crashes']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but let me not recommend it ."], "output": "[['NULL', 'laptop general', 'negative', 'not recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["was installing an update and the computer went black ."], "output": "[['computer', 'laptop usability', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i bought this originally a few months back , died within a week ."], "output": "[['NULL', 'laptop general', 'negative', 'died']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so called msi tech support , went through the troubleshooting and of course they could not fix it ."], "output": "[['msi tech support', 'support general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["eventually it bricked and died 3 days after any possible refund could be made ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'died']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if you want something that would last longer than a month , look somewhere else , as this is an absolute rip - off ."], "output": "[['NULL', 'laptop general', 'negative', 'rip - off']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s a very fast laptop ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i use it for gaming and it runs rocket league at max graphics and it looks amazing !"], "output": "[['NULL', 'laptop operation_performance', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i definitely recommend this if you are looking for a good gaming laptop ."], "output": "[['laptop', 'laptop general', 'positive', 'recommend'], ['laptop', 'laptop general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have had to wipe this pc about 8 times in the short 2 months i have owned it ."], "output": "[['pc', 'laptop usability', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["its functionality is fine and for a gaming computer it performs well , don ' t connect an hdmi cable to it though , this will fry it , also don ' t turn it off cause you have a good chance of having to reset your laptop to factory settings ."], "output": "[['gaming computer', 'laptop operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i can no longer return it and have wasted $ 850 , the support refuses to get back in touch or provide any form of civility ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL'], ['support', 'support quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i used this laptop mainly to play counterstrike and pubg which it did just fine until something got corrupted with the optane drive ."], "output": "[['laptop', 'laptop general', 'neutral', 'fine'], ['optane drive', 'graphics general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["however , not to impressed with msi ' s customer support ."], "output": "[[\"msi ' s customer support\", 'support general', 'negative', 'not to impressed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["playing a movie couldn ' t even last the duration of the movie on the battery , again , disappointing ."], "output": "[['battery', 'battery operation_performance', 'negative', 'disappointing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["its a sleek racecar of a machine and ran the new insurgency : sandstorm with ease ."], "output": "[['machine', 'laptop miscellaneous', 'positive', 'sleek']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if you buy this machine - be prepared for it to break ."], "output": "[['machine', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very good looking and fast laptop if only if it would stop crashing and having to reset back to default settings ."], "output": "[['laptop', 'laptop design_features', 'positive', 'good looking'], ['laptop', 'laptop operation_performance', 'positive', 'fast'], ['laptop', 'laptop quality', 'negative', 'crashing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it randomly shuts down all programs running and goes back to the desktop like nothing was going on ."], "output": "[['NULL', 'os operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["stay far away from this laptop !"], "output": "[['laptop', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["only been using it for about a week , continuously getting the error that it can not connect to speakers ."], "output": "[['speakers', 'multimedia_devices operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["note that this laptop is only 45 daysish old ."], "output": "[['laptop', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["cpu and gpu are good , ram is good and i like the keyboard ."], "output": "[['cpu', 'cpu general', 'positive', 'good'], ['gpu', 'graphics general', 'positive', 'good'], ['ram', 'memory general', 'positive', 'NULL'], ['keyboard', 'keyboard general', 'positive', 'like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["port options are nice as well ."], "output": "[['port options', 'ports general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the picture quality seems ."], "output": "[['picture quality', 'display design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["fans can get loud ."], "output": "[['fans', 'fans&cooling operation_performance', 'negative', 'loud']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["speakers sound tinny ."], "output": "[['speakers', 'multimedia_devices operation_performance', 'negative', 'tinny']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this laptop is my first time using the intel optane thing and after this i can not recommend it ."], "output": "[['laptop', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is freaking painful how long it can take games to load with that hard drive ."], "output": "[['hard drive', 'hard_disc operation_performance', 'negative', 'painful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i absolutely love this laptop , it looks great , its quality is amazing and can handle so many games without any lag involved ."], "output": "[['laptop', 'laptop general', 'positive', 'love'], ['laptop', 'laptop design_features', 'positive', 'great'], ['laptop', 'laptop quality', 'positive', 'amazing'], ['laptop', 'laptop operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["its battery life is really good , and the led lights are nice ."], "output": "[['battery life', 'battery operation_performance', 'positive', 'good'], ['led lights', 'display general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["however , after weeks of having this laptop , its outgoes a bunch of problems ."], "output": "[['laptop', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the 1st problem that occurred is it kept shutting on and off ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["2nd problem was the game card was damaged and 3rd problem was youtube wouldn ' t work again , and the search bar on the laptop wasnt working ."], "output": "[['game card', 'software operation_performance', 'negative', 'damaged'], ['youtube', 'software operation_performance', 'negative', 'NULL'], ['search bar', 'software operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this bios is horrible ."], "output": "[['bios', 'software general', 'negative', 'horrible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["what was even worse was the customer service ."], "output": "[['customer service', 'support general', 'negative', 'worse']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["purchased it the first time , thought it was faulty hardware , returned for a replacement of the exact same , and it had the exact problems ."], "output": "[['hardware', 'hardware design_features', 'negative', 'faulty']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i bought this product for black friday and i have been using it steadily since then ."], "output": "[['product', 'laptop general', 'neutral', 'steadily']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have been using it for about a month and the screen already is having little white streaks on it without anything to cause it ."], "output": "[['screen', 'display design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the inside is great but i feel like it won ' t last long enough before the outside crumbles ."], "output": "[['inside', 'laptop design_features', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the computer was a 50 - 50 chance to boot from day one , but we figured it needed to run updates and get settled ."], "output": "[['computer', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this was a christmas present and now we ' re scrambling because it sucks ."], "output": "[['NULL', 'laptop general', 'negative', 'sucks']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["suddenly the laptop goes to sleep and doesn ' t wake up ."], "output": "[['laptop', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i bought this in august and i have had to completely wipe 2x and rollback after every critical update since november ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["definitely has issues with windows 10 ."], "output": "[['windows 10', 'os operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["system shutdown problems every month ."], "output": "[['system', 'os operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["tech support is useless ."], "output": "[['tech support', 'support general', 'negative', 'useless']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["update : i have had this computer for about 3 months now , and it is full of problems ."], "output": "[['computer', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i got this laptop 2 days ago and it says plugged in , not charged ."], "output": "[['laptop', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i replug and restarted the laptop 3 times and it still does n ' t work ."], "output": "[['laptop', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the fan is almost always on even if you have it set to automatic , although it ' s not loud ."], "output": "[['fan', 'fans&cooling operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["microphone is really low ."], "output": "[['microphone', 'multimedia_devices operation_performance', 'negative', 'low']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["absolutely terrible quality control to not even get past the initial boot ."], "output": "[['quality control', 'laptop quality', 'negative', 'terrible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["had purchase this for my child to surf the net ; i ' d noticed ( and i can easily reproduce the problem ) , whenever her game needs to download an update , it seems like no data is coming down , while the harddrive activity ( read and write ) is very high ."], "output": "[['harddrive activity', 'hard_disc operation_performance', 'negative', 'high']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["not a good quality laptop ."], "output": "[['laptop', 'laptop quality', 'negative', 'not a good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this laptop has good hardware specs , but the screen has very poor color coverage : 59 % ."], "output": "[['screen', 'display design_features', 'negative', 'poor']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it was crashing , it would restart and then the monitor would not work until i plugged it into an external one , and even then it would usually require a restart again ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'crashing'], ['monitor', 'display operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i returned this one as well ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is not a great build ."], "output": "[['NULL', 'laptop design_features', 'negative', 'not a great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i had high hopes but sadly i had to return the second as well ."], "output": "[['NULL', 'laptop general', 'negative', 'sadly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["computer was good but i would not recommend for battery ."], "output": "[['computer', 'laptop general', 'positive', 'good'], ['battery', 'battery general', 'negative', 'not recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["to bad the battery did n ' t work out ."], "output": "[['battery', 'battery operation_performance', 'negative', 'bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["when it works , it works well ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but i ' ve had consistent issues with this laptop since i ' ve bought it ."], "output": "[['laptop', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["* * * update * * * this laptop has already bit the dust ; it crashed with a blue screen of death , and then refused to power back on ."], "output": "[['laptop', 'laptop operation_performance', 'negative', 'crashed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["what is the point of downloading games , files , anything , when a couple of weeks later it will crash and fail to recover !"], "output": "[['NULL', 'laptop operation_performance', 'negative', 'crash'], ['NULL', 'laptop operation_performance', 'negative', 'fail']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i bought this because it had a good price ."], "output": "[['NULL', 'laptop price', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["then suddenly it needs a software update which made my laptop crash ."], "output": "[['laptop', 'laptop quality', 'negative', 'crash']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the computer literally blue screened on the second day because system 32 was corrupt ."], "output": "[['system 32', 'os operation_performance', 'negative', 'corrupt'], ['computer', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["when it does run it runs great ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["do not buy this ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["will never buy an msi product again , and will tell every person i know to stay far away ."], "output": "[['msi product', 'company general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it stopped working a week after i recieved it ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["don ' t recommend it ."], "output": "[['NULL', 'laptop general', 'negative', \"' t recommend\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i bought this computer a bit over two months ago for my son ' s college and after installing the windows update , it crashed !"], "output": "[['computer', 'laptop operation_performance', 'negative', 'crashed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["do n ' t buy this laptop or brand ."], "output": "[['laptop', 'laptop general', 'negative', 'NULL'], ['brand', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i barely do anything on it and it is a complete garbage can of a laptop ."], "output": "[['laptop', 'laptop general', 'negative', 'garbage']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the screen will not work ."], "output": "[['screen', 'display operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["now the start up is failing ."], "output": "[['start up', 'os operation_performance', 'negative', 'failing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i wouldn ' t recommend this product ."], "output": "[['product', 'laptop general', 'negative', \"' t recommend\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it performs good for the price tag attached but it will have a booting problem atlest once every week and you have to format the machine ."], "output": "[['NULL', 'laptop price', 'positive', 'good'], ['NULL', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i do not recommend this to anyone in the gaming labtop market ."], "output": "[['gaming labtop', 'laptop general', 'negative', 'not recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["update review : having had this laptop for a few months it has had a bad crash from a recent windows update ."], "output": "[['laptop', 'laptop operation_performance', 'negative', 'bad'], ['laptop', 'laptop operation_performance', 'negative', 'crash']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very let down by the reliability of this machine ."], "output": "[['machine', 'laptop quality', 'negative', 'let down']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i will never buy msi again and urge others to re - think about this brand ."], "output": "[['msi', 'company general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it gets used everyday for work all day long and some light gaming in the evening ."], "output": "[['NULL', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so far the performance has been spectacular !"], "output": "[['performance', 'laptop operation_performance', 'positive', 'spectacular']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["8 + lbs , this one is right under 5 so it makes it nice and portable ."], "output": "[['NULL', 'laptop portability', 'positive', 'nice'], ['NULL', 'laptop portability', 'positive', 'portable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is my first msi and if it stays great i will be a returning customer ."], "output": "[['msi', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the battery life on the laptop is disappointing and the webcam doesn ' t work it ."], "output": "[['battery life on the laptop', 'battery operation_performance', 'negative', 'disappointing'], ['webcam', 'multimedia_devices operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["received this laptop on july 30 , 2018 and by august 5 , 2018 , not even 1 week later , it has stopped working ."], "output": "[['laptop', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["msi should be ashamed at putting out products they know have issues with no intent of correcting the problem during the building and testing phase ."], "output": "[['msi', 'company general', 'negative', 'ashamed'], ['products', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i can not recommend any products from this company and encourage everyone to avoid them ."], "output": "[['products from this company', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i really like the laptop and how fast it is and all the specs but , the internet started dropping only in this laptop ."], "output": "[['laptop', 'laptop operation_performance', 'positive', 'fast'], ['internet', 'laptop connectivity', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["good gaming computer ."], "output": "[['gaming computer', 'laptop general', 'negative', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["for the price i paid , this laptop can ' t be beat ."], "output": "[['laptop', 'laptop price', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["for $ 499 the laptop is a bargain , but you should only buy if you you plan to add an ssd in the near future ."], "output": "[['laptop', 'laptop price', 'positive', 'bargain']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["+ the colour is a beautiful grey and not purple as reviewed by other users"], "output": "[['colour', 'display design_features', 'positive', 'beautiful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["+ fingerprint sensor is accurate"], "output": "[['fingerprint sensor', 'hardware usability', 'positive', 'accurate']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- power button next to delete button ?"], "output": "[['power button', 'keyboard design_features', 'negative', 'NULL'], ['delete button', 'keyboard design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- caps lock without a led notification , not so clever ."], "output": "[['caps lock', 'keyboard design_features', 'negative', 'not so clever']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it does have an ips screen , battery life is going strong , and no touch pad issues ."], "output": "[['ips screen', 'display general', 'neutral', 'NULL'], ['battery life', 'battery operation_performance', 'positive', 'strong'], ['touch pad', 'hardware operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["definitely a steal at the price i bought this for ."], "output": "[['NULL', 'laptop price', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["initial impression is that this thing is super light , almost 1 / 2 the weight of my asus ux501vw but with the same screen dimensions ."], "output": "[['NULL', 'laptop design_features', 'positive', 'light']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["keyboard feels firm and no flex , screen is nice for the price range ."], "output": "[['keyboard', 'keyboard quality', 'positive', 'firm'], ['screen', 'display price', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["good sound quality"], "output": "[['sound quality', 'multimedia_devices quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["horrible keyboard flex"], "output": "[['keyboard flex', 'keyboard quality', 'negative', 'horrible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the max screen brightness isn ' t very bright"], "output": "[['screen', 'display operation_performance', 'negative', \"' t very bright\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["no backlit keyboard"], "output": "[['backlit keyboard', 'keyboard general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["horrible light bleed from the top edge of the screen"], "output": "[['screen', 'display quality', 'negative', 'horrible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["no ventilation at bottom of laptop"], "output": "[['laptop', 'laptop design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the laptop looks beautiful and the 8th gen intel core is a performance powerhouse ."], "output": "[['laptop', 'laptop design_features', 'positive', 'beautiful'], ['8th gen intel core', 'cpu operation_performance', 'positive', 'powerhouse']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the laptop is a little bigger than i had hoped and heavier than i expected it to feel ."], "output": "[['laptop', 'laptop design_features', 'negative', 'bigger'], ['laptop', 'laptop design_features', 'negative', 'heavier']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["to me back - lighting on a keyboard is a make or break so i might return the laptop though ( bought it because i could have sworn i read it was backlit when i purchased it ) ."], "output": "[['laptop', 'keyboard design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall , its a pretty good looking laptop that falls short of feeling truly premium ( backlit keyboard , cheap quality screen , keyboard flex ) ."], "output": "[['laptop', 'laptop design_features', 'positive', 'good looking']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the display is brilliant , has the whitest whites and the blackest blacks , contrast is excellent and the colors are outstanding ."], "output": "[['display', 'display design_features', 'positive', 'brilliant'], ['contrast', 'display design_features', 'positive', 'excellent'], ['colors', 'display design_features', 'positive', 'outstanding']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["not only is it a hdd , but its a slow one ."], "output": "[['hdd', 'hard_disc operation_performance', 'negative', 'slow']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- keyboard isn ' t back - lit"], "output": "[['keyboard', 'keyboard design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- no cd / dvd reader ( but who uses them nowadays anyway )"], "output": "[['cd / dvd reader', 'optical_drives design_features', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["highly recommend this laptop for mobile workers ."], "output": "[['laptop', 'laptop miscellaneous', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the ram is expandable ; i bought 8 gb additional and installed myself fairly easily ."], "output": "[['ram', 'memory design_features', 'positive', 'expandable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["quiet keyboard ."], "output": "[['keyboard', 'keyboard design_features', 'positive', 'quiet']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["ok battery life , 4 or 5 hours of continuous use , but i ' m never far away from a plug so no big deal really ."], "output": "[['battery life', 'battery operation_performance', 'neutral', 'ok']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["cons : delete key near the power button ( oops ! )"], "output": "[['delete key', 'keyboard design_features', 'negative', 'cons']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["internal graphics only ; not recommended for high intensity gaming or 3d modeling ."], "output": "[['internal graphics', 'graphics design_features', 'negative', 'not recommended']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this has been a really good computer for the money ."], "output": "[['computer', 'laptop price', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is fast and lightweight ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'fast'], ['it', 'laptop design_features', 'positive', 'lightweight']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i do n ' t game , so not idea how that would go , but it ' s probably not bad ."], "output": "[['NULL', 'laptop operation_performance', 'neutral', 'not bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the only thing i don ' t like is that the power button sits beside the delete key ."], "output": "[['power button', 'keyboard design_features', 'negative', \"' t like\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s a good system and has loads of space available for storage :"], "output": "[['system', 'os general', 'positive', 'good'], ['storage', 'memory design_features', 'positive', 'available']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the 1tb included drive is pretty slow , but battery life and processing power is pretty great ."], "output": "[['1tb included drive', 'hard_disc operation_performance', 'negative', 'slow'], ['battery life', 'battery general', 'positive', 'great'], ['processing power', 'cpu general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this computer functions very well as a gaming laptop for the price ."], "output": "[['computer', 'laptop price', 'positive', 'well'], ['gaming laptop', 'laptop price', 'positive', 'well'], ['computer', 'laptop operation_performance', 'positive', 'well'], ['gaming laptop', 'laptop operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the laptop runs smoothly and renders larger games quickly ."], "output": "[['laptop', 'laptop operation_performance', 'positive', 'smoothly'], ['laptop', 'laptop operation_performance', 'positive', 'quickly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["there are only two cons , the sound quality and the overheating ."], "output": "[['sound quality', 'multimedia_devices quality', 'negative', 'cons'], ['overheating', 'laptop operation_performance', 'negative', 'cons']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["all in all a great cheap gaming laptop that even with the cons i am not dissatisfied with the product ."], "output": "[['gaming laptop', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i like this laptop , for a 15 ` ` monitor laptop with i5 - 8250u cpu , the weight is acceptable for me to carry it to work between different office ."], "output": "[['weight', 'laptop design_features', 'positive', 'acceptable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the monitor is good , and graphic chip is enough for my office work , internet browsing and video streaming , don ' t think about what game it can play , i won ' t expect intel graphic chip can do a lot , if you want a gaming laptop , find some model with independent graphic chip , if you want a cheap laptop but can play computer game , you should wake up from the dream ."], "output": "[['monitor', 'display general', 'positive', 'good'], ['graphic chip', 'graphics operation_performance', 'positive', 'enough']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["just one question , now i am running the os on the ssd and the original 1tb harddisk just for storing file , its boot up and start softwares very fast , but operating with file explore is very slow , i already set the file explore not open the quick access but it still slow , rename will effective after seconds , copy file and even right click sometimes need wait for minutes , who know how can i solve it ?"], "output": "[['boot up', 'laptop operation_performance', 'negative', 'slow'], ['NULL', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["awesome computer ."], "output": "[['computer', 'laptop general', 'positive', 'awesome']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["as everyone else says ; the keyboard is not backlit ."], "output": "[['keyboard', 'keyboard design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the original hdd in this laptop has some speed limitations for load up ."], "output": "[['hdd', 'hard_disc operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the specs are good , its even faster since i added an additional 8b ram , making it a total of 16gb ."], "output": "[['specs', 'laptop general', 'positive', 'good'], ['ram', 'memory general', 'positive', 'faster']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the 15 ` ` screen is big and nice , this will make my examinations go much faster ."], "output": "[['NULL', 'display design_features', 'positive', 'big'], ['NULL', 'display design_features', 'positive', 'nice'], ['NULL', 'display design_features', 'positive', 'faster']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s completely quiet , no heat whatsoever , and very fast !"], "output": "[['NULL', 'laptop operation_performance', 'positive', 'quiet'], ['NULL', 'laptop operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["good screen ."], "output": "[['screen', 'display general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["perfect laptop for everyday use ."], "output": "[['laptop', 'laptop general', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve used it to do some basic video editing , developing applications , and some gaming and it ' s handled it all fine ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'fine']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["ca n ' t go wrong with an asus !"], "output": "[['asus', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i plugged it back in , let it fully charge as directed and have had no problems since ."], "output": "[['NULL', 'laptop operation_performance', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the screen on this looks great , the bezels aren ' t noticeable ."], "output": "[['screen', 'display design_features', 'positive', 'great'], ['bezels', 'laptop design_features', 'neutral', \"' t noticeable\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["well , wifi worked instantly without bugs ."], "output": "[['wifi', 'ports operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve had the laptop for a full day now and i can say it is quite impressive ."], "output": "[['laptop', 'laptop general', 'positive', 'impressive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the screen is also crisp and the speakers are punchy for a laptop ."], "output": "[['speakers', 'multimedia_devices operation_performance', 'positive', 'punchy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is a great notebook ."], "output": "[['notebook', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["on the flip side , this asus is very fast with minimal bloatware that is easy to get rid of ."], "output": "[['asus', 'laptop operation_performance', 'positive', 'fast'], ['asus', 'laptop operation_performance', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["battery life is between 4 to 7 hours depending on what i ' m doing ."], "output": "[['battery life', 'battery operation_performance', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i bought this laptop for software development ."], "output": "[['laptop', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my only complaint is that the trackpad is just awful ."], "output": "[['trackpad', 'keyboard general', 'negative', 'complaint'], ['trackpad', 'keyboard general', 'negative', 'awful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall , if you just need a computer to do basic software development , remote work , or browse the internet , it ' s perfectly fine ."], "output": "[['computer', 'laptop general', 'positive', 'perfectly'], ['computer', 'laptop general', 'positive', 'fine']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s pretty light , too , so it ' s easy to travel with ."], "output": "[['NULL', 'laptop design_features', 'positive', 'light'], ['NULL', 'laptop portability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the build quality is ."], "output": "[['build quality', 'laptop quality', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i am much more productive with this machine ."], "output": "[['machine', 'laptop usability', 'positive', 'productive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["for me , it ' s been fantastic ."], "output": "[['NULL', 'laptop general', 'positive', 'fantastic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["would have been 5 stars if the keyboard was back light and the finger print reader had linux drivers ."], "output": "[['keyboard', 'keyboard design_features', 'negative', 'NULL'], ['finger print reader', 'hardware design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this by far one of the best laptops i ' ve ever purchased ."], "output": "[['laptops', 'laptop general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["( coughlenovocough ) this is a beast ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'beast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["good for students that carry it from class to class ."], "output": "[['NULL', 'laptop portability', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["also , the power button placement is not very good ."], "output": "[['power button', 'keyboard design_features', 'negative', 'not very good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it bothered me that i could accidentally press it while typing ."], "output": "[['NULL', 'keyboard design_features', 'negative', 'bothered']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m a programmer and it can run all programs perfectly without delay and i don ' t have to worry about it ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'perfectly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the notebook is very well built and it could easily pass as a high - end machine ."], "output": "[['notebook', 'laptop quality', 'positive', 'well'], ['machine', 'laptop general', 'positive', 'high - end']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["asus support is horrible ."], "output": "[['asus support', 'support general', 'negative', 'horrible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the support website is incompetent ."], "output": "[['support website', 'support general', 'negative', 'incompetent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is a decent laptop no thanks to asus support ."], "output": "[['laptop', 'laptop general', 'positive', 'decent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this thing is now light , fast and powerful enough to allow me to spin up some virtual machines to help with my study courses ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'fast'], ['NULL', 'laptop operation_performance', 'positive', 'powerful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["screen color is excellent ."], "output": "[['screen color', 'display design_features', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["fast , thin , great battery life ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'fast'], ['NULL', 'laptop operation_performance', 'positive', 'thin'], ['battery life', 'battery general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["monitor looks crisp ."], "output": "[['monitor', 'display operation_performance', 'positive', 'crisp']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["no dvd drive , but who uses those anymore anyway ?"], "output": "[['dvd drive', 'multimedia_devices design_features', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the power _ supply is awesome ."], "output": "[['power _ supply is', 'power_supply general', 'positive', '.']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["only thing i ' d change would be the hard drive ."], "output": "[['hard drive', 'hard_disc general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["processer is blazing fast ( competes with 7th gen i7 hq line - check cpu benchmark ) ."], "output": "[['processer', 'cpu operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["only complaint that i took a star off for is that the edge you rest your arms on is not rounded off and it is uncomfortable to rest on them for while ."], "output": "[['edge', 'hardware design_features', 'negative', 'complaint'], ['edge', 'hardware design_features', 'negative', 'uncomfortable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["display is ok not great ."], "output": "[['display', 'display general', 'neutral', 'ok'], ['display', 'display general', 'neutral', 'not great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["nice computer for the price ."], "output": "[['computer', 'laptop price', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["quick startup and has a nice display which is matte ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'quick'], ['display', 'display design_features', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is a great laptop ."], "output": "[['laptop', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i really love the laptop !"], "output": "[['laptop', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it works really well with my art programs and runs a lot better !"], "output": "[['NULL', 'laptop operation_performance', 'positive', 'well'], ['NULL', 'laptop operation_performance', 'positive', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["don ' t know what was going on , but , it seems like this laptop is working fine ."], "output": "[['laptop', 'laptop operation_performance', 'positive', 'fine']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i bought the computer on january 2018 and so far i am really enjoying it ."], "output": "[['computer', 'laptop general', 'positive', 'enjoying']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the computer has been running the programs such as matlab , mathematics , diamond , among others without problem ."], "output": "[['computer', 'laptop operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["for me has been worth the $ 500 for the computer ."], "output": "[['computer', 'laptop price', 'positive', 'worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["and it ' s light which is a big plus since i carry it to school ."], "output": "[['NULL', 'laptop design_features', 'positive', 'light']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i guess the computer is quite okay for the price they are asking for it ."], "output": "[['computer', 'laptop price', 'positive', 'okay']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["after using this for 7 months , i can say this is one of the better laptops i have owned ."], "output": "[['laptops', 'laptop general', 'positive', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i used this laptop for 2 months without upgrading it ."], "output": "[['laptop', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["purchased this mid november , because of the 8th gen i5 , and other good specs for the great price ."], "output": "[['8th gen i5', 'cpu general', 'positive', 'NULL'], ['specs', 'laptop general', 'positive', 'good'], ['NULL', 'laptop price', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["hdd , agree didn ' t sound good ."], "output": "[['hdd', 'hard_disc general', 'negative', \"' t sound good\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["after that , it ' s actually been running well ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["screen , i have it running at the brightest setting and looks fine ."], "output": "[['screen', 'display quality', 'positive', 'fine']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the hdd sounds more like scraping on tin rather than fine steel ."], "output": "[['hdd', 'hard_disc quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["keyboard does seem a little off size as i seem to often be one key offset when get in typing position ."], "output": "[['keyboard', 'keyboard design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["internet runs well ."], "output": "[['internet', 'ports operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["downloading is very fast over wifi ."], "output": "[['wifi', 'ports operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i don ' t have need for the backlit keyboard ."], "output": "[['backlit keyboard', 'keyboard design_features', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ended up returning it even after getting a credit because the wireless did not work well and was extremely slow ."], "output": "[['wireless', 'ports connectivity', 'negative', 'not work well'], ['wireless', 'ports connectivity', 'negative', 'slow']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["everything is amazing , love the look and everything about it until now ."], "output": "[['NULL', 'laptop general', 'positive', 'amazing'], ['NULL', 'laptop general', 'positive', 'love'], ['NULL', 'laptop design_features', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["what this tells me is that the hdmi port on my chromebook is defective ."], "output": "[['hdmi port on my chromebook', 'ports connectivity', 'negative', 'defective']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i read a lot about people getting doa versions of this product from the reviews and thought i got a pretty good one until now ."], "output": "[['NULL', 'laptop general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["manufactures need to quality check their products before sending them out ."], "output": "[['manufactures', 'company quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["after logging in to the replacement , the screen flashes black every fives seconds and restart the chrome browser ."], "output": "[['screen', 'display quality', 'negative', 'NULL'], ['chrome browser', 'software operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the device itself is light and handsome - but virtually useless for long documents ."], "output": "[['device', 'laptop design_features', 'positive', 'light'], ['device', 'laptop design_features', 'positive', 'handsome'], ['device', 'laptop operation_performance', 'negative', 'useless']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["chromebook is not a writer ' s friend ."], "output": "[['chromebook', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the build - quality is pretty good ."], "output": "[['build - quality', 'laptop quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["biggest gripe , no backlights on the keyboard ."], "output": "[['keyboard', 'keyboard design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard is okay ."], "output": "[['keyboard', 'keyboard general', 'neutral', 'okay']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the trackpad is mediocre in use ."], "output": "[['trackpad', 'hardware operation_performance', 'neutral', 'mediocre']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["most of the time it works very well and one is subject to the vagaries of the various apps , browser , etc ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i find the screen resolution to be very good for video ."], "output": "[['screen resolution', 'display operation_performance', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i can ' t really testify to its battery - life as i have not used it to the point where the battery is totally dissipated ."], "output": "[['battery - life', 'battery operation_performance', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["all in all , i could live with this as my sole device if i had to"], "output": "[['device', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["after turning it on and logging into my google account i was getting an error when trying to run chrome ."], "output": "[['chrome', 'software general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["aside from that , it ' s a functioning web browser ."], "output": "[['web browser', 'software general', 'positive', 'functioning']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we ' ll it ' s been a few weeks now with this chromebook now , aside from the initial issue , no problems ."], "output": "[['chromebook', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["they ' re like a little - known gem , practically unknown in my area ."], "output": "[['NULL', 'laptop general', 'positive', 'gem']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have mixed feelings about this acer chromebook ."], "output": "[['acer chromebook', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["like the other one i borrowed , this one feels streamlined and easy to use ."], "output": "[['NULL', 'laptop usability', 'positive', 'streamlined'], ['NULL', 'laptop usability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s easy find and delete pics and files you ' ve downloaded ."], "output": "[['NULL', 'laptop usability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["they have a low - quality , hard plastic feel and a weird textured grain to them ."], "output": "[['NULL', 'keyboard quality', 'negative', 'low'], ['NULL', 'laptop design_features', 'negative', 'hard'], ['NULL', 'laptop design_features', 'negative', 'weird']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i wouldn ' t want to do any extensive typing on it ."], "output": "[['NULL', 'keyboard general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the touchpad is hard and clunky ."], "output": "[['touchpad', 'hardware operation_performance', 'negative', 'hard'], ['touchpad', 'hardware operation_performance', 'negative', 'clunky']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["even using it a bit makes my hands / wrist uncomfortable ."], "output": "[['NULL', 'keyboard operation_performance', 'negative', 'uncomfortable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["doing general internet surfing is a breeze on this laptop ."], "output": "[['laptop', 'laptop operation_performance', 'positive', 'breeze']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall , it works well and is easy to use ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'well'], ['NULL', 'laptop usability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s still good for basic internet usage ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["pros : streamlined and simple ; easy to use overall ; easy to find / delete pics & files ; good price ; looks nice from the outside , with the lid down ; good 14 ` ` screen size that ' s surprisingly hard to find"], "output": "[['NULL', 'laptop design_features', 'positive', 'streamlined'], ['NULL', 'laptop design_features', 'positive', 'simple'], ['NULL', 'laptop design_features', 'positive', 'nice'], ['NULL', 'laptop usability', 'positive', 'easy'], ['NULL', 'laptop usability', 'positive', 'NULL'], ['NULL', 'laptop price', 'positive', 'good'], ['NULL', 'display general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["cons : webcam doesn ' t have video - only takes pics ; awful , uncomfortable keyboard & trackpad ; chromebook extensions are lacking and don ' t address / make up for the limitations of this chromebook ; a bit heavy and clunky ; hard to figure out google cloud print"], "output": "[['webcam', 'hardware design_features', 'negative', 'NULL'], ['keyboard', 'keyboard operation_performance', 'negative', 'awful'], ['keyboard', 'keyboard operation_performance', 'negative', 'uncomfortable'], ['trackpad', 'keyboard operation_performance', 'negative', 'awful'], ['trackpad', 'keyboard operation_performance', 'negative', 'uncomfortable'], ['NULL', 'laptop design_features', 'negative', 'heavy'], ['NULL', 'laptop design_features', 'negative', 'clunky']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["also on this model the ssd is not replaceable ."], "output": "[['ssd', 'hard_disc design_features', 'negative', 'not replaceable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i went online and found that the 1 year acer warranty had already expired ."], "output": "[['acer warranty', 'warranty general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["also upon turning it on , i got a blue screen ."], "output": "[['NULL', 'os operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the trackpad is awful as are most acer trackpads ."], "output": "[['trackpad', 'hardware operation_performance', 'negative', 'awful'], ['acer trackpads', 'hardware operation_performance', 'negative', 'awful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this happened 7 times within 20 minutes when i was working on something ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i am returning immediately , no patience for this ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["everything lagged and the screen flickered ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL'], ['screen', 'display operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i just received the computer back from repairs and it worked for about 2 days and the same problem started happening again ."], "output": "[['computer', 'laptop quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["unfortunately this chromebook is very sluggish ."], "output": "[['chromebook', 'laptop operation_performance', 'negative', 'sluggish']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i wouldn ' t recommend this chromebook ."], "output": "[['chromebook', 'laptop general', 'negative', \"' t recommend\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["while the product worked decently for about a month , it went downhill soon after ."], "output": "[['product', 'laptop operation_performance', 'positive', 'decently'], ['product', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["not only did i get the laptop with a dented corner , the screen constantly flickers and cuts out on occasion , the entire laptop freezes for no discernible reason , and the mouse has completely stopped working twice ."], "output": "[['screen', 'display operation_performance', 'negative', 'NULL'], ['NULL', 'laptop operation_performance', 'negative', 'NULL'], ['mouse', 'keyboard operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["computer arrived doa ."], "output": "[['computer', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keys and mouse pad are responsive and comfortable to use ."], "output": "[['keys', 'keyboard operation_performance', 'positive', 'responsive'], ['mouse pad', 'keyboard operation_performance', 'positive', 'responsive'], ['keys', 'keyboard operation_performance', 'positive', 'comfortable'], ['mouse pad', 'keyboard operation_performance', 'positive', 'comfortable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["now my main complaint is that is it very slow , especially for a new computer !"], "output": "[['computer', 'laptop operation_performance', 'negative', 'complaint'], ['computer', 'laptop operation_performance', 'negative', 'slow']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["big learning curve , would hate to see someone older try and figure it out ."], "output": "[['NULL', 'laptop usability', 'negative', 'hate']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the drag and drop works poorly which is very annoying ."], "output": "[['NULL', 'os operation_performance', 'negative', 'poorly'], ['NULL', 'os operation_performance', 'negative', 'annoying']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["on the upside , the internet is lightning fast and it interfaces with tv through hdmi which is great , is bluetooth compatible and has two usb ports ."], "output": "[['internet', 'ports usability', 'positive', 'fast'], ['hdmi', 'ports portability', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall a good buy ."], "output": "[['NULL', 'laptop general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["liked it when it was working , but it ' s a paperweight now ."], "output": "[['it', 'laptop general', 'positive', 'liked'], ['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["acer had no answer for that question ."], "output": "[['NULL', 'support general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["next day during a video froze and just kept looping one section as it froze , and then froze and made a horrible loud scratching noise ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'horrible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["completely aggravated , sending this crap back as soon as i hear from them ."], "output": "[['crap', 'laptop general', 'negative', 'crap']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["computer was used very little and stopped working after 6 months"], "output": "[['computer', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["technical support was easy to reach , but not able to stop the problem i was having ."], "output": "[['technical support', 'support general', 'negative', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["support got quite unpleasant when i ask about replacement ."], "output": "[['support', 'support quality', 'negative', 'unpleasant']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["other than that , i like it , and this is my first chromebook ."], "output": "[['chromebook', 'laptop general', 'positive', 'like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but this one was a piece of trash ."], "output": "[['trash', 'laptop general', 'negative', 'trash']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["power cord broke within the first two weeks of use ."], "output": "[['power cord', 'power_supply quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["otherwise computer seems okay ."], "output": "[['computer', 'laptop general', 'neutral', 'okay']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve had it for less than two months it randomly shuts down ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["trackpad keeps breaking ."], "output": "[['trackpad', 'hardware operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["acer support is awful ."], "output": "[['acer support', 'support quality', 'negative', 'awful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["other people online seem to have this same problem with the trackpad , but acer pretends they have never heard of it ."], "output": "[['trackpad', 'hardware operation_performance', 'negative', 'NULL'], ['acer', 'company general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["third time in 5 months that the touchpad became unresponsive ."], "output": "[['touchpad', 'hardware operation_performance', 'negative', 'unresponsive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very low quality build and quality support ."], "output": "[['quality build', 'laptop quality', 'negative', 'low'], ['quality support', 'support quality', 'negative', 'low']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["was able to get past setting up the log in info , but then once you log in the screen continuously goes black and comes back on and goes black and comes back on ; continuous cycle ."], "output": "[['screen', 'display operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m thinking i got a dud , so i ' ll update this review once i can get it resolved hopefully with a replacement ."], "output": "[['dud', 'laptop general', 'negative', 'dud']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["one of the two usb ports is defective , which is an enormous pain ."], "output": "[['usb ports', 'ports operation_performance', 'negative', 'defective'], ['usb ports', 'ports operation_performance', 'negative', 'pain']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["also , chromeos does not allow color / temperature calibration of the display device ."], "output": "[['chromeos', 'os design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i gave it 3 out of 5 stars , because there is no sd card slot !"], "output": "[['sd card slot', 'ports general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["nice screen and keyboard , touch pad is great ."], "output": "[['screen', 'display general', 'positive', 'nice'], ['keyboard', 'keyboard general', 'positive', 'nice'], ['touch pad', 'keyboard general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["then it just rebooted without prompt ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s already bricked and i did n ' t even use it for more than one day ."], "output": "[['NULL', 'laptop quality', 'negative', 'bricked']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very disappointed with the wireless radio in this chromebook ."], "output": "[['wireless radio in this chromebook', 'multimedia_devices general', 'negative', 'disappointed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the sad part is i truly do like acer products , but this made me rethink this purchase ."], "output": "[['acer products', 'laptop general', 'positive', 'like'], ['acer products', 'laptop general', 'negative', 'sad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s terrible ."], "output": "[['NULL', 'laptop general', 'negative', 'terrible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i could have bought a new pc for the money , but figured the slim chromebook was handy , and the word on line was it was great for exactly the reasons i wanted it , as a wireless entertainment center ."], "output": "[['word on line', 'software general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i wish i could give it away at this point ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["acer ' s customer service is by far the worst ."], "output": "[[\"acer ' s customer service\", 'support quality', 'negative', 'worst']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very good build quality , except for the keyboard apparently , sound was very big , very fast boot times and so much more ."], "output": "[['build quality', 'laptop quality', 'positive', 'good'], ['keyboard', 'keyboard quality', 'negative', 'NULL'], ['sound', 'multimedia_devices operation_performance', 'positive', 'big'], ['boot times', 'os operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the track pad is one of the best i have seen for a non - apple touch pad ."], "output": "[['track pad', 'keyboard general', 'positive', 'best'], ['touch pad', 'keyboard general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["feels nice and looks good but it truly is the worst chromebook on the market !"], "output": "[['chromebook', 'laptop general', 'positive', 'nice'], ['chromebook', 'laptop design_features', 'positive', 'good'], ['chromebook', 'laptop general', 'negative', 'worst']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["picks up wireless signals weakly !"], "output": "[['wireless signals', 'laptop connectivity', 'negative', 'weakly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the screen flickers , freezes , and the machine even restarts itself on some occasions ."], "output": "[['screen', 'display operation_performance', 'negative', 'NULL'], ['machine', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the screen display isn ' t bright at all !"], "output": "[['screen display', 'display operation_performance', 'negative', \"' t bright at all\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["even the keyboard is fantastic ."], "output": "[['keyboard', 'keyboard general', 'positive', 'fantastic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall , worst chromebook ever and i can ' t wait until it dies !"], "output": "[['chromebook', 'laptop general', 'negative', 'worst']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i would not recommend this as a primary chromebook or even to buy it at all ."], "output": "[['chromebook', 'laptop general', 'negative', 'not recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["update - this thing frustrated me so much over the past month that i just threw it in the trash ( where it belongs ) ."], "output": "[['NULL', 'laptop general', 'negative', 'frustrated']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["personally , i would steer clear of this chromebook ."], "output": "[['chromebook', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it started to get slow a week ago ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'slow']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["now the curser / track pad is gone ."], "output": "[['curser / track pad', 'hardware operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["terrible product ."], "output": "[['product', 'laptop general', 'negative', 'terrible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if you use wix to edit websites the scroll bar will not appear once you enter editor page , thus making it impossible to design / build / update websites ."], "output": "[['wix', 'software usability', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i was disappointed with the touch pad would stick and when it broke loose it over shot the target ."], "output": "[['touch pad', 'keyboard operation_performance', 'negative', 'disappointed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["do not buy this machine if you ' re hoping to run android apps ."], "output": "[['machine', 'laptop usability', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["after charging the unit for 2 hours i discovered that the unit will only operate while the charger is connected ."], "output": "[['unit', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["keys are a bit thin and have an odd feel to them ."], "output": "[['keys', 'keyboard design_features', 'negative', 'thin']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this unit is a great compromise between powerful cpu and gpu with good battery life ."], "output": "[['cpu', 'cpu operation_performance', 'positive', 'powerful'], ['gpu', 'graphics operation_performance', 'positive', 'powerful'], ['unit', 'laptop general', 'positive', 'great'], ['battery life', 'battery general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- timeout on keyboard backlight not adjustable ."], "output": "[['keyboard', 'keyboard usability', 'negative', 'not adjustable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["acer refused to pay for shipping it back to them for warranty repairs ."], "output": "[['acer', 'support quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["that seemed to correct problem , but problem returned next day and the battery would only charge up to 1 % with charger plugged in ."], "output": "[['battery', 'battery operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["monitor went out 35 days after receiving ."], "output": "[['monitor', 'display quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["powered it down and back up a few time to check boot times and now ibhave huge black lines running down the screen ."], "output": "[['screen', 'display operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["display driver fails 3x a day ."], "output": "[['display driver', 'display quality', 'negative', 'fails']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["loses wifi connection every hour ."], "output": "[['wifi', 'ports operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["they are simply unreliable , poorly made laptops ."], "output": "[['laptops', 'laptop general', 'negative', 'unreliable'], ['laptops', 'laptop general', 'negative', 'poorly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["its a hardware issue ."], "output": "[['NULL', 'hardware quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the picture was very bright and clear , the back - lit keyboard was a very nice feature , and it seemed like a good value for the price ."], "output": "[['picture', 'display quality', 'positive', 'bright'], ['picture', 'display quality', 'positive', 'clear'], ['back - lit keyboard', 'keyboard general', 'positive', 'nice'], ['NULL', 'laptop price', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the internet download speed with the acer was akin to an old dial - up modem speed ."], "output": "[['internet download speed with the acer', 'ports connectivity', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["as of this writing , the computer ' s dedicated video card is completely non - functional , the computer routinely switches off in the middle of executing a process , and i can ' t even use the hdmi out port ."], "output": "[[\"computer ' s dedicated video card\", 'multimedia_devices general', 'negative', 'non - functional'], ['computer', 'laptop quality', 'negative', 'NULL'], ['hdmi out port', 'ports general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["however with that being said i bought this laptop about 3 days ago and it ' s already not working ."], "output": "[['laptop', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i called acer tech support but nothing worked ."], "output": "[['acer tech support', 'support general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["will not recommend it ."], "output": "[['NULL', 'laptop general', 'negative', 'not recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is an ok laptop ."], "output": "[['laptop', 'laptop general', 'neutral', 'ok']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the problem with it is that it freezes from time to time ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this looks too big , it ' s just 1 day of use so far this is my review ."], "output": "[['NULL', 'laptop design_features', 'negative', 'big']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my computer was used on average a couple hours a day ."], "output": "[['computer', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["11 months after the purchase , it died ."], "output": "[['NULL', 'laptop general', 'negative', 'died']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it worked great , no issues besides the mouse began to freeze when the computer was idled for too long ."], "output": "[['mouse', 'keyboard operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["first one had a white line on the screen , then went and got a replacement , not even six months into this one and the graphics card failed ."], "output": "[['screen', 'display operation_performance', 'negative', 'NULL'], ['graphics', 'graphics general', 'negative', 'failed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["nice computer that came with a bad fan ."], "output": "[['computer', 'laptop general', 'positive', 'nice'], ['fan', 'fans&cooling general', 'negative', 'bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the problem is a complete lack of local hardware support in the us unless you happen to live in temple , tx ."], "output": "[['hardware support', 'support general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i am giving this a one star because of its faulty design ."], "output": "[['design', 'laptop design_features', 'negative', 'faulty']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the screen sits too close to the keyboard and you will end up with scratches on the screen ."], "output": "[['keyboard', 'keyboard design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["laptop failed after only six months of use ."], "output": "[['laptop', 'laptop quality', 'negative', 'failed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["worked fine until 3 months after i bought it ."], "output": "[['NULL', 'laptop general', 'positive', 'fine'], ['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["laptop was working fine until just under 3 months of use when it bsod ' d and wouldn ' t turn back on ."], "output": "[['laptop', 'laptop operation_performance', 'positive', 'fine'], ['laptop', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["looking past the bsod problem , the battery is internal so you can ' t just pop it off , you need access the mobo just to replace it ."], "output": "[['battery', 'battery design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this laptop ' s construction is cheap and flimsy , the battery is not removable and the back case is nearly impossible to take off without damaging it ."], "output": "[[\"laptop ' s construction\", 'laptop design_features', 'negative', 'cheap'], [\"laptop ' s construction\", 'laptop design_features', 'negative', 'flimsy'], ['battery', 'battery design_features', 'negative', 'not removable'], ['back case', 'laptop design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it would not start up after 2 months of purchase and then re - set button didn ' t work ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL'], ['re - set button', 'hardware general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["its a good computer for the price but it needs to work awhile without crashing within 6 months ."], "output": "[['computer', 'laptop price', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the touchpad is quite sensitive i ' ve noticed , not a big issue to me ."], "output": "[['touchpad', 'hardware operation_performance', 'neutral', 'sensitive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i will keep my rating at 3 stars , as the issues with the screen quality / shine - and volume / brightness keys being unusable and nonexistent , to be large issues for me ."], "output": "[['screen', 'display quality', 'negative', 'NULL'], ['volume', 'multimedia_devices quality', 'negative', 'unusable'], ['volume', 'multimedia_devices quality', 'negative', 'nonexistent'], ['NULL', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the laptop build is cheap looking and basic , but functional to say the least while i save up money ."], "output": "[['laptop build', 'laptop quality', 'positive', 'cheap looking'], ['laptop build', 'laptop quality', 'positive', 'basic'], ['laptop build', 'laptop operation_performance', 'neutral', 'functional']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i will say , however , that the screen is kind of awful ."], "output": "[['screen', 'display quality', 'negative', 'awful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it looks awful , feels awful ."], "output": "[['NULL', 'laptop design_features', 'negative', 'awful'], ['NULL', 'laptop design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall i have to remind myself that this laptop is only 600 dollars , and with certain gains i ' ll lose some things unless i ' m willing to spend out of budget ."], "output": "[['laptop', 'laptop price', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this item is two months old and the power button repeatedly does not work ."], "output": "[['power button', 'out_of_scope operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["screen broke 2 weeks after having it ."], "output": "[['screen', 'display quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i had this laptop repaired within the first 6 months of owning it ."], "output": "[['laptop', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["works good but right click on mouse pad wont wok have to use external mouse"], "output": "[['NULL', 'laptop operation_performance', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["when i play a game , there is noise on the screen ."], "output": "[['screen', 'display operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the laptop itself seemed fine at first ."], "output": "[['laptop', 'laptop general', 'positive', 'fine']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but the backlit keyboard was no longer lighting - up and the computer would no longer turn - on or boot ."], "output": "[['backlit keyboard', 'keyboard operation_performance', 'negative', 'NULL'], ['computer', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i left it plugged in to charge for the night and tried it again the next morning , with the same results of not being able to turn it back on ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["at this point i no longer trusted this model and was afraid of having the same issue with a replacement if i exchanged it , and then not having enough time to do another exchange and still be able to charge and configure it in time to wrap and put under the christmas tree for my son , so i contacted amazon and they gladly e - mailed me a return shipping label and refunded my money in full in 3 days , after receiving it back from me ."], "output": "[['model', 'laptop general', 'negative', 'afraid'], ['amazon', 'support general', 'positive', 'gladly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i hate to knock acer as they ' re the only brand i ' ve ever purchased and this is the first major issue i ' ve ever had with them , but it was frustrating spending that much time charging and almost finishing the configurations and set - up of a brand - new product and then not being able to turn it on to use it ."], "output": "[['acer', 'company general', 'negative', 'NULL'], ['product', 'laptop general', 'negative', 'frustrating']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["then i called amazon - acer again , the customer service was good !"], "output": "[['NULL', 'support general', 'positive', 'good'], ['customer service', 'support general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall this is a very capable machine , better life is great as well ."], "output": "[['machine ,', 'laptop general', 'positive', 'capable'], ['better life', 'battery general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["not sure if this is simply a deal accident , but my ssd failed within 4 months ."], "output": "[['ssd', 'hard_disc operation_performance', 'negative', 'failed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but the battery was giving erroneous feedback and getting too hot while charging , the keyboard was way too sensitive for me , and the cover / lid was a really cheaply made ."], "output": "[['battery', 'battery operation_performance', 'negative', 'erroneous'], ['keyboard', 'keyboard operation_performance', 'negative', 'way too sensitive'], ['cover / lid', 'hardware operation_performance', 'negative', 'cheaply']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i got the computer working fine i set everything up linked it to my phone ect , then i had steam messages open , discord open and watching youtube and the screen again froze completely no audio no nothing just a frozen screen displaying youtube ."], "output": "[['screen', 'display operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it had hard failure after a month and i had to send it our for a service ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'failure']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["power turning on failed ."], "output": "[['power', 'power_supply operation_performance', 'negative', 'failed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["computer wo n ' t turn on have had it less then a year ."], "output": "[['computer', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the laptop died after just one month ."], "output": "[['laptop', 'laptop operation_performance', 'negative', 'died']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["poor screen quality , extremely dim , lacks clarity , slow photo uploads ."], "output": "[['screen quality', 'display quality', 'negative', 'poor'], ['NULL', 'laptop operation_performance', 'negative', 'slow']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["received it , launched up a game , cpu reaches 99 degrees celsius , game crashes ."], "output": "[['cpu', 'cpu operation_performance', 'negative', 'crashes']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["twice in 10 days i had an issue , pointer , where they said turn it over and put a pin in it ."], "output": "[['pointer', 'out_of_scope operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s far too early in this machine ' s life to be encountering problems , the company has very poor customer service , and i would strongly recommend against purchasing ."], "output": "[['company', 'company general', 'negative', 'poor']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it works well , but the only thing i don ' t like about it is that it makes it extremely difficult to find things that i ' m looking for ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'well'], ['NULL', 'laptop usability', 'negative', \"' t like\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the computer hold its ground , but it has specs to be a killer ."], "output": "[['computer', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["barely have it for 6 months and everything ' s going haywire ."], "output": "[['NULL', 'laptop general', 'negative', 'haywire']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["now i ca n ' t even get into my laptop because the startup is all jacked up ."], "output": "[['laptop', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["however , the 1 - star review is due to the advertising with the computer ."], "output": "[['computer', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["battery is not as long"], "output": "[['battery', 'battery operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["buyer beware - computer is complete trash ."], "output": "[['computer', 'laptop general', 'negative', 'trash']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it just freezes up on you ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["super off balance with respect to screen ."], "output": "[['screen', 'display general', 'negative', 'off balance']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["keyboard lighting is primitive and keeps shutting off ."], "output": "[['keyboard lighting', 'keyboard design_features', 'negative', 'primitive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the battery life is around 2 hrs , not 10 + as advertised ."], "output": "[['battery life', 'battery operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have had good luck with acer products but this pc was my 1st time i needed them for technical support ."], "output": "[['pc', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i call acer support and after an hour they can not help me ."], "output": "[['acer support', 'support quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["bought an acer computer that did not work ."], "output": "[['acer computer', 'laptop usability', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve called apple support numerous times and was never asked if i had the ability to read words as i ' m actually reading words ."], "output": "[['apple support', 'support general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["thank you to amazon for taking this brick of acer garbage back ."], "output": "[['amazon', 'company general', 'positive', 'thank you'], ['acer garbage', 'laptop general', 'negative', 'garbage']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["could have been a great computer if not for the terrible keyboard construction ."], "output": "[['computer', 'laptop general', 'positive', 'great'], ['keyboard construction', 'keyboard quality', 'negative', 'terrible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["constantly got the blue screen , already tryed everything to fix it ."], "output": "[['blue screen', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the seller doesn ' t reply my e - mails"], "output": "[['seller', 'support quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve had this for 3 days and so far the laptop is fine ."], "output": "[['laptop', 'laptop general', 'positive', 'fine']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m seriously considering returning it !"], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i don ' t want bluetooth speakers ."], "output": "[['bluetooth speakers', 'multimedia_devices general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i would not buy this again !"], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["good touchpad"], "output": "[['touchpad', 'hardware general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["below medium build quality"], "output": "[['build quality', 'laptop quality', 'negative', 'below medium']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["usb ports are too hard to plug and unplug"], "output": "[['usb ports', 'ports usability', 'negative', 'hard']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["comes with hdd and this makes this laptop very slow"], "output": "[['hdd', 'hard_disc operation_performance', 'negative', 'slow'], ['laptop', 'laptop operation_performance', 'negative', 'slow']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["about 4 hours of battery"], "output": "[['battery', 'battery operation_performance', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["maintenance and opening case is too hard"], "output": "[['NULL', 'laptop usability', 'negative', 'hard']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["in contrast of that , this laptop ' s cpu is very powerful ."], "output": "[[\"laptop ' s cpu\", 'cpu operation_performance', 'positive', 'powerful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["on the other hand , it is not an easy task to open and replace hdd ."], "output": "[['hdd', 'hard_disc design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i don ' t understand this kind of design ."], "output": "[['design', 'laptop design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i can enjoy the real potential of this laptop ."], "output": "[['laptop', 'laptop operation_performance', 'positive', 'enjoy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["1 ) the delete button is right next to the power button"], "output": "[['delete button', 'keyboard design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["2 ) slow start up and performance given"], "output": "[['NULL', 'laptop operation_performance', 'negative', 'slow']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s fast at processing , fast for web browsing and has a quick startup ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'fast'], ['NULL', 'laptop operation_performance', 'positive', 'NULL'], ['NULL', 'laptop operation_performance', 'positive', 'quick']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["in seconds , even with an hdd it ' s still starts up in seconds ."], "output": "[['starts up', 'laptop operation_performance', 'positive', 'NULL'], ['hdd', 'hard_disc general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the fingerprint sensor is a nice touch and the color and feel of the laptop material is also nice ."], "output": "[['fingerprint sensor', 'hardware operation_performance', 'positive', 'nice'], ['laptop material', 'laptop design_features', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["there is really no excuse why it can ' t have one ."], "output": "[['NULL', 'laptop design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it has the specs but that ' s it ' s main downfall ."], "output": "[['specs', 'laptop general', 'negative', 'downfall']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["15 ` ` screen , full sized keyboard and speed fast enough for some low quality games such as lol ."], "output": "[['keyboard', 'keyboard design_features', 'positive', 'NULL'], ['speed fast', 'laptop operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s light and thin , and overall the screen is pretty good ."], "output": "[['NULL', 'laptop design_features', 'positive', 'light'], ['NULL', 'laptop design_features', 'positive', 'thin'], ['screen', 'display general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the hdd that comes with the computer is slow and loud , in fact the computer is not usable by todays standard , it ' s terribly slow ."], "output": "[['NULL', 'laptop usability', 'negative', 'not usable'], ['NULL', 'laptop usability', 'negative', 'terribly'], ['NULL', 'laptop usability', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["after the ssd upgrade , the computer is very fast ."], "output": "[['computer', 'laptop operation_performance', 'positive', 'fast'], ['ssd', 'hard_disc operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the build quality is cheap ."], "output": "[['build quality', 'laptop quality', 'negative', 'cheap']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["everything is plastic ."], "output": "[['NULL', 'laptop design_features', 'negative', 'plastic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the hard drive sounds like a distant lawn mower ."], "output": "[['hard drive', 'hard_disc operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this thing is slow !"], "output": "[['NULL', 'laptop operation_performance', 'negative', 'slow']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m trying to do online college college courses with it and it gets hung up in some intimate nevernever land of unresponsiveness ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'unresponsiveness']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- the audio for this laptop was poorly planned out ."], "output": "[['audio for this laptop', 'multimedia_devices design_features', 'negative', 'poorly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so the audio can easily be muffled ."], "output": "[['audio', 'multimedia_devices operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- even so those are forgivable offenses compared to the next and worst thing , the touchpad ."], "output": "[['touchpad', 'hardware general', 'negative', 'worst']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this laptop ' s tocuhpad is by far the worst i have ever used ."], "output": "[[\"laptop ' s tocuhpad\", 'hardware general', 'negative', 'worst']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i bought 2 , one stopped working after 9 months , was sent for ` ` repair ` ` it wasn ' t came right back with the same issue ."], "output": "[['NULL', 'laptop quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the other one had the same issue after 9 months of use , wasn ' t used right away when purchased ."], "output": "[['NULL', 'laptop quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the customer service is the worst i have ever experienced , asking the same questions over and over , not helpful at all ."], "output": "[['customer service', 'support general', 'negative', 'worst'], ['customer service', 'support general', 'negative', 'not helpful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["do not buy !"], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["today tried to turned it on , but to a blank screen !"], "output": "[['blank screen', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is a painfully slow computer ."], "output": "[['computer', 'laptop operation_performance', 'negative', 'painfully'], ['computer', 'laptop operation_performance', 'negative', 'slow']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- acceptable amount of flex"], "output": "[['flex', 'laptop design_features', 'positive', 'acceptable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- fingerprint reader is working well"], "output": "[['fingerprint reader', 'hardware operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- track pad is accurate"], "output": "[['track pad', 'hardware operation_performance', 'positive', 'accurate']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- screen looks good"], "output": "[['screen looks', 'display design_features', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- took literally 5 + hours for windows update / setup"], "output": "[['windows', 'os operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- the webcam is a bad joke"], "output": "[['webcam', 'multimedia_devices general', 'negative', 'bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the hard drive is definitely slow ."], "output": "[['hard drive', 'hard_disc operation_performance', 'negative', 'slow']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["after only a little over a month , it totally died and will not work at all ."], "output": "[['NULL', 'laptop quality', 'negative', 'died']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i love asus but this one is super slow !"], "output": "[['asus', 'company general', 'positive', 'love'], ['NULL', 'laptop operation_performance', 'negative', 'slow']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["extremely slow ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'slow']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very junky"], "output": "[['junky', 'laptop general', 'negative', 'junky']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["sound went out in less than a week ."], "output": "[['sound went', 'multimedia_devices operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this item cost me money ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["after running through the setup wizard , the laptop failed to boot ."], "output": "[['laptop', 'laptop operation_performance', 'negative', 'failed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["though it is competitively priced for the specs , the laptop felt cheap ."], "output": "[['specs', 'laptop price', 'positive', 'competitively'], ['laptop', 'laptop quality', 'negative', 'cheap']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i eventually returned it ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["ordered in november 2017 but used fewer than 100 hours when vertical red line appeared on monitor ."], "output": "[['monitor', 'display quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["they are clearly working with more than one person at a time , and not effective multi - taskers ."], "output": "[['NULL', 'support general', 'negative', 'not effective']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["laptop screen goes blank after four weeks minimally used ."], "output": "[['laptop screen', 'display operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["then it would not boot up ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["screen turn black and won ' t turn on within a month rarely use ."], "output": "[['screen', 'display quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- excellent cpu"], "output": "[['cpu', 'cpu general', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- good ram"], "output": "[['ram', 'memory general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["then the light bleed becomes annoying and distracting ."], "output": "[['light bleed', 'display operation_performance', 'negative', 'annoying'], ['light bleed', 'display operation_performance', 'negative', 'distracting']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- the hard drive is really slow and really loud ."], "output": "[['hard drive', 'hard_disc operation_performance', 'negative', 'slow'], ['hard drive', 'hard_disc operation_performance', 'negative', 'loud']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall : the specs for this computer looked pretty good , but after using it for a few weeks , the negatives outweigh the positives , and i ' m going to have to return it ."], "output": "[['specs for this computer', 'laptop design_features', 'positive', 'good'], ['NULL', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["beware this product seems to have no quality control ."], "output": "[['product', 'laptop quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i was using it and the screen started to flicker and then went completely dim ."], "output": "[['screen', 'display operation_performance', 'negative', 'flicker']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["also tech support gave incorrect product info !"], "output": "[['tech support', 'support general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s a good enough laptop ."], "output": "[['laptop', 'laptop general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["customer service told me it ' s faulty"], "output": "[['customer service', 'support general', 'negative', 'faulty']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["power plug doesn ' t fit well - connection is erratic ."], "output": "[['power plug', 'power_supply connectivity', 'negative', \"' t fit well\"], ['power plug', 'power_supply connectivity', 'negative', 'erratic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the vivobook f510ua is a great laptop with fantastic specs ."], "output": "[['vivobook f510ua', 'laptop general', 'positive', 'great'], ['laptop', 'laptop general', 'positive', 'great'], ['specs', 'laptop design_features', 'positive', 'fantastic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["however i ' m happy to report that the keyboard is great and i ' ve already gotten use to it ."], "output": "[['keyboard', 'keyboard general', 'positive', 'happy'], ['keyboard', 'keyboard general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["with my first day of use everything was terribly slow and updates took hours ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'terribly'], ['NULL', 'laptop operation_performance', 'negative', 'slow']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["be prepared to wait a good five hours give or take until the system runs smoother ."], "output": "[['system', 'os operation_performance', 'positive', 'good'], ['system', 'os operation_performance', 'positive', 'smoother']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["2 ssd as it will not fit the slot available ."], "output": "[['ssd', 'hard_disc design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["2 stars taken for horrible sound quality"], "output": "[['sound quality', 'multimedia_devices quality', 'negative', 'horrible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this computer completely shut down after 2 months ."], "output": "[['computer', 'laptop quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i can ' t get it to work at all ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s one of the worst laptops i ' ve ever had ."], "output": "[['laptops', 'laptop general', 'negative', 'worst']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is junk ."], "output": "[['NULL', 'laptop general', 'negative', 'junk']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is going on 3 hours now and is only 17 % done ."], "output": "[['NULL', 'os operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the item is good but the sound of speakers is very low ."], "output": "[['item', 'laptop general', 'positive', 'good'], ['sound of speakers', 'multimedia_devices operation_performance', 'negative', 'low']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["otherwise , it has everything i can / might / could love ."], "output": "[['NULL', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my only other complaint is trackpad sensitivity ."], "output": "[['trackpad sensitivity', 'hardware operation_performance', 'negative', 'complaint']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["having win 10 is already a horrible mistake as so , but if you try to install win 8 , drivers won ' t work properly !"], "output": "[['win 8', 'os operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this computer freeze , reboots , and crashes in a regular basis if you ' re trying to do multiple stuff at once ."], "output": "[['computer', 'laptop operation_performance', 'negative', 'crashes']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["screen maximum brightness is still not bright enough"], "output": "[['screen', 'display operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["two stars because the current laptop i have works great ."], "output": "[['laptop', 'laptop operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it felt flimsy , but decent ."], "output": "[['NULL', 'laptop design_features', 'negative', 'flimsy'], ['NULL', 'laptop general', 'positive', 'decent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very slow , and always hangs"], "output": "[['NULL', 'laptop operation_performance', 'negative', 'slow']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s a pretty good laptop ."], "output": "[['laptop', 'laptop general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["nicely sized , thin and portable , the works ."], "output": "[['NULL', 'laptop design_features', 'positive', 'nicely'], ['NULL', 'laptop design_features', 'positive', 'thin'], ['NULL', 'laptop portability', 'positive', 'portable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the only issue i ' m having is battery life ."], "output": "[['battery life', 'battery operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["thing says 8 hours , but i can guarantee it ' s not making it past 4 or 5 ."], "output": "[['NULL', 'battery operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but yeah overall good"], "output": "[['NULL', 'laptop general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it runs pretty fast but the keyboard is not lit , the speakers are on the bottom and the track pad is a pos ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'fast'], ['keyboard', 'keyboard design_features', 'negative', 'not lit'], ['speakers', 'multimedia_devices design_features', 'negative', 'NULL'], ['track pad', 'hardware general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["besides that it runs ok"], "output": "[['NULL', 'laptop operation_performance', 'neutral', 'ok']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["update - dead pixel in middle screen ."], "output": "[['screen', 'display quality', 'negative', 'dead']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["replacement ordered and arrived , upon first ten minutes of use the keyboard stops working and is barely functioning sound on max is extremely undesirable ."], "output": "[['keyboard', 'keyboard quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["second update - speakers no longer work after 1 month of use ."], "output": "[['speakers', 'multimedia_devices quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["runs ok , cheapish , good for price i guess"], "output": "[['NULL', 'laptop operation_performance', 'neutral', 'ok'], ['NULL', 'laptop price', 'positive', 'cheapish'], ['NULL', 'laptop price', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the battery broke after just 4 months from baying it am so disappointed with the product"], "output": "[['battery', 'battery quality', 'negative', 'disappointed'], ['product', 'laptop general', 'negative', 'disappointed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["do not buy this laptop ."], "output": "[['laptop', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i returned it twice ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["and when it did work it was very slow ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'slow']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["windows 10 alone runs slow on this but once you install some 3rd party programs like adobe photoshop or illistrator , this laptop is unuseable ."], "output": "[['windows 10', 'os operation_performance', 'negative', 'slow'], ['laptop', 'laptop operation_performance', 'negative', 'unuseable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["even having a couple of programs open & running , slows down the overall performance of the system dramatically ."], "output": "[['system', 'os operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve been waiting for this chromebook for some time now and having only had it for about two weeks , i can say that the device and purchase were well worth it ."], "output": "[['chromebook', 'laptop general', 'positive', 'well worth'], ['device', 'laptop general', 'positive', 'well worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["5 ` ` ips screen that is gorgeous to look at , extremely bright and full 1080p resolution ."], "output": "[['NULL', 'display design_features', 'positive', 'gorgeous']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["a solid little m3 processor , 4gb of ram and 64gb of ssd storage make this machine capable of handling heavy usage and earn it a solid octane 2 ."], "output": "[['ram', 'memory operation_performance', 'positive', 'NULL'], ['ssd', 'hard_disc operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the surface texture of the case is a satiny paper - like touch , which is both clean and easy to wipe down , but also not so smooth that you have to be concerned with it slipping out of your hand when carrying it ."], "output": "[['surface texture of the case', 'laptop design_features', 'positive', 'clean'], ['surface texture of the case', 'laptop usability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["even with the 2 - in - 1 flip hinge , the device has a solid feel and there ' s very little wobble in the screen while typing ."], "output": "[['screen', 'display usability', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the pop - up keyboard looks just like the android screen keyboard and the orientation detection and capacitive touch screen are snappy and very responsive ."], "output": "[['touch screen', 'display operation_performance', 'positive', 'snappy'], ['touch screen', 'display operation_performance', 'positive', 'responsive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["one place that does frustrate me in the tablet mode is that chromeos has a number of ui features that don ' t lend themselves to touch interaction ."], "output": "[['chromeos', 'os design_features', 'negative', 'frustrate']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it has a glassy - smooth surface that resists finger - prints and goop , is very large , and has a firm but not too - clunky feeling click to it ."], "output": "[['surface', 'display design_features', 'positive', 'glassy'], ['surface', 'display design_features', 'positive', 'smooth'], ['surface', 'display design_features', 'positive', 'large'], ['surface', 'display design_features', 'positive', 'firm']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it takes up more than 1 / 3rd of the palm - area horizontal space and makes thumb - tapping mouse tweaks very easy ."], "output": "[['NULL', 'display design_features', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["finally , there are the ports ."], "output": "[['ports', 'ports general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- beautiful , bright ips screen with full 1080p resolution"], "output": "[['screen', 'display design_features', 'positive', 'beautiful'], ['screen', 'display design_features', 'positive', 'bright']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- backlit keyboard rocks"], "output": "[['backlit keyboard', 'keyboard design_features', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- battery life is pretty amazing at 10 - 11hrs"], "output": "[['battery life', 'battery operation_performance', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- 4gb ram cap ."], "output": "[['ram', 'memory operation_performance', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- many ui elements are not user - friendly in tablet mode"], "output": "[['ui elements', 'os operation_performance', 'negative', 'not user - friendly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- port minimalism ."], "output": "[['port', 'ports portability', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["out of the box , the asus c302ca is a powerhouse for stock chromeos usage ."], "output": "[['asus c302ca', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["performance - wise , i can easily have 12 - 24 tabs open simultaneously and see no slow - down in performance ."], "output": "[['NULL', 'os operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["one place that i find lacking in chromeos is the settings management ."], "output": "[['chromeos', 'os design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["for the most - part you don ' t have much freedom to make any significant changes to settings ."], "output": "[['NULL', 'software design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- clean and secure operating system that is very lean and gets the most out of the systems modest specs"], "output": "[['operating system', 'os design_features', 'positive', 'clean'], ['operating system', 'os design_features', 'positive', 'secure'], ['operating system', 'os design_features', 'positive', 'clean'], ['specs', 'os design_features', 'positive', 'modest']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- with the combination of web - based productivity tools and development apps / services , this chromebook can provide a breadth of very viable usage scenarios without bogging the system down with locally install applications ."], "output": "[['chromebook', 'laptop operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- android apps and google play store are real game changers for the chromeos landscape ."], "output": "[['google play store', 'software general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- boot time , sleep time and wake time are crazy fast ."], "output": "[['boot time', 'os quality', 'positive', 'crazy'], ['boot time', 'os quality', 'positive', 'fast'], ['sleep time', 'os quality', 'positive', 'crazy'], ['sleep time', 'os quality', 'positive', 'fast'], ['wake time', 'os quality', 'positive', 'crazy'], ['wake time', 'os quality', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- system settings could be more robust and better organized"], "output": "[['system settings', 'os design_features', 'neutral', 'robust'], ['system settings', 'os design_features', 'neutral', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- tablet - mode still needs some work ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so , this is where this little chromebook really shines ."], "output": "[['chromebook', 'laptop general', 'positive', 'shines']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["apps start very fast , graphics are much more responsive and capable when not being shared with chromeos and there are a number of ways you can tweak the ui / ux to your own liking ."], "output": "[['graphics', 'graphics usability', 'positive', 'responsive'], ['graphics', 'graphics usability', 'positive', 'capable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["all that being said , you get a lot of bang for the buck with these three enhanced desktop / application options and i use all three in some capacity every day , so don ' t think your ' e isolated to just one approach ."], "output": "[['desktop / application options', 'software general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["while the stock aluminum case is darn solid enough , it can take scratches easily from things like keys or cable connectors tossed in a bag with it ."], "output": "[['stock aluminum case', 'laptop quality', 'positive', 'solid']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["d ) a bluetooth mouse - while this unarguably has one of the best trackpads in chromebook land , there are still times you just need the precision of a mouse ."], "output": "[['trackpads', 'hardware general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["0 type - a low - profile memory stick on a usb - c adaptor , but that would be silly ."], "output": "[['usb - c adaptor', 'ports general', 'negative', 'silly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it was an excellent machine for the money and it also got me spoiled with its touch screen ."], "output": "[['machine', 'laptop price', 'positive', 'excellent'], ['touch screen', 'display operation_performance', 'positive', 'spoiled']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this made me realize that arm processors are not ready for desktop - class browsing ."], "output": "[['arm processors', 'cpu general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["let me tell you , this thing is snappy ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'snappy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the build quality is nice and the hinge is sturdy ."], "output": "[['build quality', 'laptop quality', 'positive', 'nice'], ['hinge', 'hardware quality', 'positive', 'sturdy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard also feels nice and the backlighting is great ."], "output": "[['keyboard', 'keyboard general', 'positive', 'nice'], ['backlighting', 'keyboard general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i use my chromebook a lot in the dark and it ' s a real treat ."], "output": "[['chromebook', 'laptop usability', 'positive', 'treat']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["while the chromebook pro does have a nice high - resolution 3 : 2 screen and the s - pen ( which is truly a gimmick anyway ) , it has half the storage , shorter battery life , and no backlit keyboard ."], "output": "[['storage', 'memory design_features', 'negative', 'NULL'], ['battery life', 'battery operation_performance', 'negative', 'NULL'], ['backlit keyboard', 'keyboard design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is among the best ."], "output": "[['NULL', 'laptop general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s much smoother with web pages and android apps , and the touch screen is more responsive ."], "output": "[['web pages', 'software operation_performance', 'positive', 'smoother'], ['android apps', 'software operation_performance', 'positive', 'smoother'], ['touch screen', 'display operation_performance', 'positive', 'responsive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["keyboard is a bit nicer , not tons ."], "output": "[['keyboard', 'keyboard general', 'positive', 'nicer']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["for casual use , this will work fine for me ."], "output": "[['NULL', 'laptop general', 'positive', 'fine']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the default scaling 1536x864 looks excellent and sharp to me ."], "output": "[['default scaling', 'display operation_performance', 'positive', 'excellent'], ['default scaling', 'display operation_performance', 'positive', 'sharp']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["there ' s nothing i do n ' t like about this device , so in order of importance , here ' s what i love about it ."], "output": "[['device', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m typing this review in a dark room , and it reminds me how much i love this backlit keyboard ."], "output": "[['backlit keyboard', 'keyboard operation_performance', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i love how quick this thing is ."], "output": "[['NULL', 'cpu operation_performance', 'positive', 'love'], ['NULL', 'cpu operation_performance', 'positive', 'quick']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this thing is n ' t that fast , but for loading web pages , it ' s pretty close ."], "output": "[['NULL', 'cpu operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the brightness and clarity are awesome ."], "output": "[['brightness', 'display operation_performance', 'positive', 'awesome'], ['clarity', 'display operation_performance', 'positive', 'awesome']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is quality hardware , and it shows ."], "output": "[['hardware', 'hardware quality', 'positive', 'quality']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s complementary , not revolutionary , which is much more intuitive and useful ."], "output": "[['NULL', 'laptop general', 'positive', 'intuitive'], ['NULL', 'laptop general', 'positive', 'useful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["again , this is where the build quality really shines ."], "output": "[['build quality', 'laptop quality', 'positive', 'shines']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the microsd slot leaves an inserted card perfectly flush ."], "output": "[['microsd slot', 'ports operation_performance', 'positive', 'perfectly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this flip 2 really is a fantastic chromebook , and the ability to run android apps only makes it better !"], "output": "[['flip 2', 'laptop general', 'positive', 'fantastic'], ['chromebook', 'laptop general', 'positive', 'fantastic'], ['android apps', 'software operation_performance', 'positive', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i absolutely love this beyond any computer / tablet device i have purchased in the last 10 years , trust me , i ' ve bought a lot of them along the way ."], "output": "[['computer', 'laptop general', 'positive', 'love'], ['tablet device', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["with the power of the internet and all the online productivity products the simplicity of this is fantastic ."], "output": "[['NULL', 'laptop usability', 'positive', 'fantastic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the addition of the play store puts the device into a sweet spot no other device can come close to matching ."], "output": "[['device', 'laptop design_features', 'positive', 'sweet']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this asus chromebook fits the bill ."], "output": "[['asus chromebook', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["can ' t say enough about my love of this chromebook ."], "output": "[['chromebook', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["then the asus flip c302 came into my life :"], "output": "[['asus flip c302', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["speaking of charges , it ' s so nice to be able to use usb c ."], "output": "[['usb c', 'ports general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["our phones are usb c so one cable does everything for me ."], "output": "[['usb c', 'ports general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["* keyboard * - the keyboard is alright ."], "output": "[['NULL', 'keyboard general', 'neutral', 'alright'], ['NULL', 'keyboard general', 'neutral', 'alright']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["* track pad * - the trackpad is well done ."], "output": "[['track pad', 'keyboard design_features', 'positive', 'well'], ['trackpad', 'keyboard design_features', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["80 % of the apps it ' s a poor experience ."], "output": "[['apps', 'software quality', 'negative', 'poor']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the asus c302 is the best chromebook you can buy ."], "output": "[['asus c302', 'laptop general', 'positive', 'best'], ['chromebook', 'laptop general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the touch screen is super responsive and the keyboard is excellent ."], "output": "[['touch screen', 'display operation_performance', 'positive', 'responsive'], ['keyboard', 'keyboard general', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it runs most of those apps and games beautifully and when combined with a ` ` logitech gamepad f310 ` ` you can play the games with a game controller !"], "output": "[['apps', 'software operation_performance', 'positive', 'beautifully']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall this is a home run purchase and i can ' t say enough good things about the asus c302 ."], "output": "[['asus c302', 'laptop general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i mostly use it for playing a couple of games , surfing the web , managing my calendar / tasks lists , reading e - books , that sort of thing ."], "output": "[['NULL', 'laptop operation_performance', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard is small , a little weird and takes some getting used to ."], "output": "[['keyboard', 'keyboard design_features', 'negative', 'small'], ['keyboard', 'keyboard design_features', 'negative', 'weird']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard is excellent ( and backlit ) ."], "output": "[['keyboard', 'keyboard general', 'positive', 'excellent'], ['backlit', 'keyboard general', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the track pad is excellent ."], "output": "[['track pad', 'keyboard general', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the screen is excellent ."], "output": "[['screen', 'display general', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this laptop performs in every way ."], "output": "[['laptop', 'laptop operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s light , but also has a good weight to it ."], "output": "[['NULL', 'laptop design_features', 'positive', 'light'], ['NULL', 'laptop design_features', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- the touchscreen is very responsive , fast , and so far everything has scaled just fine during use"], "output": "[['touchscreen', 'hardware operation_performance', 'positive', 'responsive'], ['touchscreen', 'hardware operation_performance', 'positive', 'fast'], ['touchscreen', 'hardware operation_performance', 'positive', 'fine']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- the hinges are just perfect ."], "output": "[['hinges', 'hardware general', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- the speakers are to the sides and not underneath so the sound isn ' t muffled when it ' s resting on something other than a flat surface"], "output": "[['speakers', 'multimedia_devices design_features', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- this chromebook has access to the android beta channel for android apps"], "output": "[['chromebook', 'laptop design_features', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["and because of the constant usage of higher brightness , the battery does drain faster ."], "output": "[['battery', 'battery operation_performance', 'negative', 'faster']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["they both pick up oils and such pretty easily ."], "output": "[['NULL', 'display operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["as for the asus , it is a wonderful laptop ."], "output": "[['asus', 'laptop general', 'positive', 'wonderful'], ['laptop', 'laptop general', 'positive', 'wonderful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have had no issues with the track pad ; it works fine ."], "output": "[['track pad', 'keyboard operation_performance', 'positive', 'fine']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have not fully tested battery life but it seems to last about as long as advertised ."], "output": "[['battery life', 'battery operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["one , the display is gorgeous ; watching video is a treat ."], "output": "[['display', 'display operation_performance', 'positive', 'gorgeous'], ['display', 'display operation_performance', 'positive', 'treat']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["however , there is screen glare , even in a normally lit room , not just a brightly lit room ."], "output": "[['screen', 'display operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i think that the bezels are a smidge thick , but that actually makes perfect sense ."], "output": "[['bezels', 'hardware design_features', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s a real treat ."], "output": "[['NULL', 'laptop general', 'positive', 'treat']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my use experience has been riddled with lag and jitteriness , although using the touchscreen for a moment sorts everything out ."], "output": "[['touchscreen', 'hardware operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the speakers get plenty loud , but they start to sound pretty bad when turned up a little past half volume ."], "output": "[['speakers', 'multimedia_devices operation_performance', 'positive', 'loud'], ['speakers', 'multimedia_devices operation_performance', 'negative', 'bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the core m3 allows this system to get fast and to stay quiet ."], "output": "[['core m3', 'cpu operation_performance', 'positive', 'fast'], ['core m3', 'cpu operation_performance', 'positive', 'quiet']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["sometimes , under heavy loads , the bottom of the c302 gets warm to the touch , but not to the point of pain ."], "output": "[['c302', 'fans&cooling quality', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["all the while , it provides one of the fastest web browsing experiences that i ' ve ever experienced ."], "output": "[['web browsing', 'software operation_performance', 'positive', 'fastest']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it will take years of bad programming to make this chromebook as slow as my last one got ."], "output": "[['chromebook', 'laptop operation_performance', 'negative', 'bad'], ['chromebook', 'laptop operation_performance', 'negative', 'slow']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["2 ) the touchpad is way too wonky - asus needs to fix this asap ."], "output": "[['touchpad', 'hardware operation_performance', 'negative', 'wonky']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["having had it for just over a month , i have to say i am thoroughly impressed by its versatility and how stable the os is ."], "output": "[['os', 'os operation_performance', 'positive', 'versatility'], ['os', 'os operation_performance', 'positive', 'stable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["on a side note , there is a slight defect on my chromebook as there is some creaking and loose feeling when pressing on the bottom left side of my screen , this can be especially annoying in tablet mode ."], "output": "[['chromebook', 'display quality', 'negative', 'defect'], ['screen', 'laptop quality', 'negative', 'annoying']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["boot up is of course , almost instant ."], "output": "[['boot up', 'os operation_performance', 'positive', 'instant']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- excellent keyboard in all aspects - feel , rigidity , and backlight"], "output": "[['keyboard', 'keyboard general', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- excellent build quality - aluminium case is solid and has a premium feel"], "output": "[['build quality', 'laptop quality', 'positive', 'excellent'], ['aluminium case', 'laptop quality', 'positive', 'solid'], ['aluminium case', 'laptop quality', 'positive', 'premium']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- perfect balance of speed and battery life"], "output": "[['battery life', 'battery operation_performance', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- my only real gripe is that i wish it was ."], "output": "[['NULL', 'laptop design_features', 'negative', 'gripe']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["other than my hope that it would be light enough to use as a tablet all the time , this is the chromebook i ' ve been wanting for a long time now ."], "output": "[['chromebook', 'laptop portability', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s extremely useful as a laptop as well as , most of the time at least , a tablet ."], "output": "[['laptop', 'laptop usability', 'positive', 'useful'], ['tablet', 'laptop usability', 'positive', 'useful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["note : i bought a refurbished / ` ` damaged ` ` model from amazon and it ' s in absolutely flawless condition ."], "output": "[['model', 'laptop general', 'positive', 'flawless']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["pros : lightweight , fast , portable , great battery life ( 12 ."], "output": "[['NULL', 'laptop design_features', 'positive', 'lightweight'], ['NULL', 'laptop operation_performance', 'positive', 'fast'], ['battery life', 'battery general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard and mouse on the asus were frequently rated as good but those on the pixelbook were raved about ."], "output": "[['mouse', 'mouse general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the side mounted speakers are clear ."], "output": "[['side mounted speakers', 'multimedia_devices quality', 'positive', 'clear']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the battery life is not anywhere near the advertised 8 hours ."], "output": "[['battery life', 'battery operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the design and style is topnotch ."], "output": "[['design', 'laptop design_features', 'positive', 'topnotch'], ['style', 'laptop design_features', 'positive', 'topnotch']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["boot speed : likewise , very fast -"], "output": "[['NULL', 'os operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["many android apps work conditionally : e ."], "output": "[['android apps', 'software operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["battery life is phenomenal again ."], "output": "[['battery life', 'battery operation_performance', 'positive', 'phenomenal']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard is fully sized and comfortable , the key travel is good with great action , backlighting is enough and adaptive ."], "output": "[['keyboard', 'keyboard design_features', 'positive', 'fully sized'], ['keyboard', 'keyboard quality', 'positive', 'comfortable'], ['key travel', 'keyboard operation_performance', 'positive', 'good'], ['key travel', 'keyboard operation_performance', 'positive', 'great'], ['backlighting', 'keyboard design_features', 'positive', 'enough'], ['backlighting', 'keyboard design_features', 'positive', 'adaptive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- the aluminum build is firm and solid without feeling cheap ."], "output": "[['aluminum build', 'laptop quality', 'positive', 'firm'], ['aluminum build', 'laptop quality', 'positive', 'solid'], ['aluminum build', 'laptop quality', 'positive', 'without feeling cheap']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- the screen is great in all aspects ."], "output": "[['screen', 'display general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- performance is solid for chromebook use ."], "output": "[['chromebook', 'laptop operation_performance', 'positive', 'solid']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- battery life is great ."], "output": "[['battery life', 'battery general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["everything is either good or excellent in quality ."], "output": "[['NULL', 'laptop quality', 'positive', 'good'], ['NULL', 'laptop quality', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- screen brightness is generally ` ` enough ` ` but maybe not enough for watching dark movies in bright lights ."], "output": "[['screen brightness', 'display operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- speakers can ` ` chatter ` ` after playing youtube videos for a long period of time ."], "output": "[['speakers', 'multimedia_devices operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- performance can be stuttering when under heavy load ."], "output": "[['performance', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["again , overall i believe this is a great laptop with an amazing keyboard ."], "output": "[['laptop', 'laptop general', 'positive', 'great'], ['keyboard', 'keyboard general', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- i was worried that because the chromebooks are internet based it would run slow , but so far it is very fast at processing , installing , and uploading things ."], "output": "[['chromebooks', 'laptop operation_performance', 'negative', 'worried'], ['chromebooks', 'laptop operation_performance', 'negative', 'slow'], ['chromebooks', 'laptop operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- physically it is appealing looking ."], "output": "[['NULL', 'laptop design_features', 'positive', 'appealing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is smart looking , thin , light weight , and portable ."], "output": "[['NULL', 'laptop design_features', 'positive', 'smart'], ['NULL', 'laptop design_features', 'positive', 'thin'], ['NULL', 'laptop design_features', 'positive', 'light'], ['this', 'laptop portability', 'positive', 'portable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but , it was packed well and arrived with no damage whatsoever !"], "output": "[['NULL', 'shipping quality', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the one annoyance is that office 365 doesn ' t provide a seamless way to save file offline and sync up when you ' re online ."], "output": "[['office 365', 'software design_features', 'negative', 'annoyance']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- the keyboard is great and has a nice gentle / quiet click to it ."], "output": "[['keyboard', 'keyboard general', 'positive', 'great'], ['keyboard', 'keyboard usability', 'positive', 'nice'], ['keyboard', 'keyboard usability', 'positive', 'quiet']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- the keys themselves don ' t travel that much which i prefer ."], "output": "[['keys', 'keyboard usability', 'positive', 'prefer']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- the trackpad , while a little on the small size , has a nice glass smooth finish and it works reliable well ."], "output": "[['trackpad', 'keyboard design_features', 'positive', 'nice'], ['trackpad', 'keyboard design_features', 'positive', 'smooth'], ['trackpad', 'keyboard operation_performance', 'positive', 'reliable'], ['trackpad', 'keyboard operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- the touchscreen works great and is very responsive ."], "output": "[['touchscreen', 'display operation_performance', 'positive', 'great'], ['touchscreen', 'display operation_performance', 'positive', 'responsive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- the build quality is great but not necessarily impressive ."], "output": "[['build quality', 'laptop quality', 'positive', 'great'], ['build quality', 'laptop quality', 'negative', 'not necessarily impressive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["tablet works just fine though ."], "output": "[['tablet', 'laptop operation_performance', 'positive', 'fine']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["build quality and design are top notch ."], "output": "[['build quality', 'laptop quality', 'positive', 'top notch'], ['design', 'laptop design_features', 'positive', 'top notch']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i absolutely love this chromebook !"], "output": "[['chromebook', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so , i originally purchased this for the travel conveniences ."], "output": "[['NULL', 'laptop portability', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["most of my love for this laptop is based on the operating system but since you get that with every chromebook , i ' ll tell you what i like and dislike about the physical laptop only ."], "output": "[['laptop', 'os operation_performance', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the display is perfect for me , plenty of brightness and a decent resolution ."], "output": "[['display', 'display general', 'positive', 'perfect'], ['display', 'display general', 'positive', 'brightness'], ['resolution', 'display design_features', 'positive', 'decent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the usb - c ports are nice and i found that a completely dead battery to fully charged time was about an hour ."], "output": "[['usb - c ports', 'ports general', 'positive', 'nice'], ['charged time', 'power_supply operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i really liked that this chromebook came with 64gb of space but i really don ' t see how someone may fill that up unless they opt to sync their google drive offline or something ."], "output": "[['chromebook', 'laptop general', 'positive', 'liked']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i wish the display was able to go about 1 or 2 clicks brighter and about 1 click darker at the lowest setting ."], "output": "[['display', 'display design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the speaker volume is decent but the quality of sound is terrible ."], "output": "[['speaker volume', 'multimedia_devices general', 'negative', 'decent'], ['quality of sound', 'multimedia_devices quality', 'negative', 'terrible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard is awesome ."], "output": "[['keyboard', 'keyboard design_features', 'positive', 'awesome']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- it ' s a bit heavy in tablet mode ."], "output": "[['tablet mode', 'laptop portability', 'negative', 'heavy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- i wish the sound quality was better ."], "output": "[['sound quality', 'multimedia_devices general', 'neutral', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["despite these cons i think this was a great purchase ."], "output": "[['NULL', 'laptop general', 'positive', 'great'], ['NULL', 'laptop general', 'negative', 'cons']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["performance wise , this is an excellent machine - it has a beautiful touchscreen , plenty of storage , converts to a tablet , and seamlessly connects to the google play store to run any of the millions of android apps available ."], "output": "[['touchscreen', 'display design_features', 'positive', 'beautiful'], ['storage', 'memory design_features', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the customer / warranty service that i received was first class and i am very impressed by asus for this reason alone ."], "output": "[['customer / warranty service', 'support quality', 'positive', 'first class'], ['asus', 'laptop general', 'positive', 'impressed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if you are in need of a reliable laptop that is lightweight , fast , and convertible , i highly recommend the asus c302 !"], "output": "[['asus c302', 'laptop general', 'positive', 'reliable'], ['asus c302', 'laptop general', 'positive', 'recommend'], ['laptop', 'laptop general', 'positive', 'reliable'], ['laptop', 'laptop general', 'positive', 'recommend'], ['asus c302', 'laptop design_features', 'positive', 'lightweight'], ['laptop', 'laptop design_features', 'positive', 'lightweight'], ['asus c302', 'laptop design_features', 'positive', 'fast'], ['laptop', 'laptop design_features', 'positive', 'fast'], ['asus c302', 'laptop usability', 'positive', 'convertible'], ['laptop', 'laptop usability', 'positive', 'convertible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i loved the simplicity of chrome os while enjoying the flip aspect of being able to turn it into a reading tablet when i wanted to as well ."], "output": "[['flip', 'laptop design_features', 'positive', 'enjoying']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this time around , asus released an absolutely refined masterpiece ."], "output": "[['asus', 'company general', 'positive', 'masterpiece']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the c302 is heavier in size and appearance and also significantly better in all aspects ."], "output": "[['c302', 'laptop design_features', 'positive', 'heavier'], ['c302', 'laptop design_features', 'positive', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard traction is clicky and the layout is spaced out well enough for a terrific typing experience ."], "output": "[['keyboard', 'keyboard operation_performance', 'positive', 'clicky'], ['layout', 'keyboard operation_performance', 'positive', 'well'], ['layout', 'keyboard operation_performance', 'positive', 'terrific']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the premium feel combined with the charming simplicity of chrome os really gives it a stunning experience ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'premium'], ['NULL', 'laptop operation_performance', 'positive', 'stunning'], ['chrome os', 'os operation_performance', 'positive', 'charming']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so i decided to purchase the asus flip , and so far it has met every one of my nitpicky demanding needs ."], "output": "[['asus flip', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["build quality is very good , nearing the ` ` excellent ` ` mark , especially for the price ."], "output": "[['build quality', 'laptop quality', 'positive', 'good'], ['build quality', 'laptop quality', 'positive', 'excellent'], ['NULL', 'laptop price', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["sound has been fine , except for a few issues with an android app , and that can easily be software related as android is still in infant stages ( or at least toddler ) on chromebooks , and i expect those quirks will smooth out over time as chromebook software is updated on a very regular basis ."], "output": "[['android app', 'software operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard is very nice for me ."], "output": "[['keyboard', 'keyboard general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["android is running flawlessly so far , barring one minor incident with sound on clash of clans ( which went away on reboot ) ."], "output": "[['android', 'software operation_performance', 'positive', 'flawlessly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the m3 processor is fast and fluid ."], "output": "[['m3 processor', 'cpu operation_performance', 'positive', 'fast'], ['m3 processor', 'cpu operation_performance', 'positive', 'fluid']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["and the backlit keyboard has a very good feel , and great key ` ` travel . ` `"], "output": "[['backlit keyboard', 'keyboard usability', 'positive', 'good'], ['backlit keyboard', 'keyboard usability', 'positive', 'great'], ['keyboard', 'keyboard usability', 'positive', 'good'], ['keyboard', 'keyboard usability', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["despite the minor case marks , i can heartily recommend this chromebook based on features , design , and operation ."], "output": "[['chromebook', 'laptop design_features', 'positive', 'recommend'], ['chromebook', 'laptop operation_performance', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great product build - the quality of this asus chromebook is impressive at any price , but at sub - $ 500 it ' s astounding ."], "output": "[['product build', 'laptop design_features', 'positive', 'great'], ['asus chromebook', 'laptop quality', 'positive', 'impressive'], ['asus chromebook', 'laptop price', 'positive', 'astounding']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the metal case is really well built , and the fit and finish are virtually perfect ."], "output": "[['metal case', 'laptop quality', 'positive', 'well'], ['fit', 'laptop quality', 'positive', 'perfect'], ['finish', 'laptop quality', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["that said just buy it with confidence , it ' s a top quality product all around , and , it looks and feels that way ."], "output": "[['NULL', 'laptop quality', 'positive', 'top']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard and touchpad experience are pivotal for a device like this and what asus delivers is very satisfying ."], "output": "[['asus', 'company general', 'positive', 'satisfying']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the back - lit keyboard is a joy to use and the 1920 x 1080 touchscreen is superb ."], "output": "[['back - lit keyboard', 'keyboard usability', 'positive', 'joy'], ['touchscreen', 'display general', 'positive', 'superb']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this chromebook is light - weight , durable and beautiful ."], "output": "[['chromebook', 'laptop design_features', 'positive', 'light'], ['chromebook', 'laptop design_features', 'positive', 'beautiful'], ['chromebook', 'laptop operation_performance', 'positive', 'durable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the 360 - degree hinges allow me to make presentations to customers and the battery life is amazing ."], "output": "[['360 - degree hinges', 'laptop general', 'positive', 'NULL'], ['battery life', 'battery general', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this little guy fits the bill perfectly ."], "output": "[['guy', 'laptop operation_performance', 'positive', 'perfectly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the touch screen is nice , and i like to use it for free handing things when i need to ."], "output": "[['touch screen', 'display general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this chrome book joins the group and is itself excellent and different ."], "output": "[['chrome book', 'laptop general', 'positive', 'excellent'], ['chrome book', 'laptop general', 'positive', 'different']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard is good ."], "output": "[['keyboard', 'keyboard general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the screen is bright and color spread is good ."], "output": "[['screen', 'display operation_performance', 'positive', 'bright'], ['color spread', 'display operation_performance', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["fast , beautiful display , comfortable keyboard , and the android apps work well ( not great yet , but well ) ."], "output": "[['display', 'display design_features', 'positive', 'beautiful'], ['display', 'display design_features', 'positive', 'fast'], ['keyboard', 'keyboard usability', 'positive', 'comfortable'], ['android apps', 'software operation_performance', 'positive', 'well'], ['android apps', 'software operation_performance', 'positive', 'NULL'], ['android apps', 'software operation_performance', 'positive', 'not great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["sorry for the ` ` downer ` ` start here , because as a chromebook , the c302 is very good ."], "output": "[['c302', 'laptop general', 'positive', 'good'], ['chromebook', 'laptop general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the c302 m5 ( the best processor i could find so far , is a very good chromebook ."], "output": "[['m5', 'cpu general', 'positive', 'best'], ['processor', 'cpu general', 'positive', 'best'], ['c302', 'laptop general', 'positive', 'good'], ['chromebook', 'laptop general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["still , a very nice compact chromebook ."], "output": "[['chromebook', 'laptop general', 'positive', 'nice'], ['chromebook', 'laptop general', 'positive', 'compact']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it has a light design making it easy for travel , reasonably small screen that makes it easy to use on your lap or in class , and a quality chassis to give it that nice premium feeling almost like a shiny apple mac ."], "output": "[['NULL', 'laptop design_features', 'positive', 'light'], ['NULL', 'laptop portability', 'positive', 'easy'], ['NULL', 'laptop usability', 'positive', 'NULL'], ['screen', 'display design_features', 'positive', 'reasonably'], ['chassis', 'laptop design_features', 'positive', 'quality'], ['chassis', 'laptop design_features', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the biggest benefit with this computer for me is the longevity of the battery life with this thing ."], "output": "[['battery life', 'battery operation_performance', 'positive', 'benefit'], ['battery life', 'battery operation_performance', 'positive', 'longevity']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["* very solidly built and it transitions nicely from laptop to tablet mode ."], "output": "[['built', 'laptop quality', 'positive', 'solidly'], ['laptop', 'laptop design_features', 'positive', 'nicely'], ['tablet', 'laptop design_features', 'positive', 'nicely']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it feels very nice and i also really like the backlit keys in the dark ."], "output": "[['NULL', 'laptop general', 'positive', 'nice'], ['backlit keys', 'keyboard general', 'positive', 'like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["* the screen is more than adequate for me , although i have not used it outside much yet ."], "output": "[['screen', 'display usability', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["* battery - i can not really speak to the battery life yet , but as a power user with lots of tabs and several apps open , it is giving me a days use 5 + hours of use so far ."], "output": "[['NULL', 'battery operation_performance', 'positive', 'NULL'], ['battery life', 'battery operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is working really well ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["surprisingly to me , the tablet form has been better than expected for reading ."], "output": "[['tablet form', 'laptop operation_performance', 'positive', 'surprisingly'], ['tablet form', 'laptop operation_performance', 'positive', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["in laptop mode the trackpad works very well for this ."], "output": "[['trackpad', 'hardware operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the sound is not real loud from the speakers , but i am reasonably pleased with the quality ."], "output": "[['sound', 'multimedia_devices quality', 'positive', 'pleased'], ['speakers', 'multimedia_devices quality', 'positive', 'pleased']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s one of the best chromebook in the market if not the best ."], "output": "[['chromebook', 'laptop general', 'positive', 'best'], ['chromebook', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["speed : it ' s very fast ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["keybooard : keyboard is good ."], "output": "[['keybooard', 'keyboard general', 'positive', 'good'], ['keyboard', 'keyboard general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["trackbad : it could be better but it ' s not bad 8 ."], "output": "[['trackbad', 'keyboard general', 'positive', 'better'], ['trackbad', 'keyboard general', 'positive', 'not bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the batrey charges very quickly , you will need 1 hour for a full charge ."], "output": "[['batrey charges', 'power_supply operation_performance', 'positive', 'quickly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the coolest thing is the touch screen on something this size ."], "output": "[['touch screen', 'display design_features', 'positive', 'coolest']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so far , netflix has been the most useful for me ."], "output": "[['netflix', 'software general', 'positive', 'useful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i love my c302 !"], "output": "[['c302', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s the perfect size and , like you said , the keyboard is one of the best i ' ve ever laid my hands on ."], "output": "[['NULL', 'laptop design_features', 'positive', 'perfect'], ['keyboard', 'keyboard general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the build quality is great ."], "output": "[['build quality', 'laptop quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it travels well , great battery life , and is powerful enough for 100 % of the tasks i need to do ( web , streaming , word processing , reports , email ) ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'well'], ['battery life', 'battery operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["chrome is also a great os - fast and so convenient especially if you rely on docs , sheets , google drive , etc ."], "output": "[['chrome', 'os operation_performance', 'positive', 'great'], ['chrome', 'os operation_performance', 'positive', 'fast'], ['chrome', 'os operation_performance', 'positive', 'convenient'], ['os', 'os operation_performance', 'positive', 'great'], ['os', 'os operation_performance', 'positive', 'fast'], ['os', 'os operation_performance', 'positive', 'convenient']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this chromebook is amazing ."], "output": "[['chromebook', 'laptop general', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this chromebook features a full size keyboard and is easier type on by a long shot ."], "output": "[['keyboard', 'keyboard design_features', 'positive', 'full size'], ['keyboard', 'keyboard operation_performance', 'positive', 'easier']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it has a very fast 64gb ssd and 4gb on lpddr3 memory ."], "output": "[['64gb ssd', 'hard_disc operation_performance', 'positive', 'fast'], ['lpddr3 memory', 'memory operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is a fanless processor so there are no vents or openings of any kind which makes this exceptionally quiet as well ."], "output": "[['processor', 'cpu design_features', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the device is very light and easily transportable ."], "output": "[['device', 'laptop design_features', 'positive', 'light'], ['device', 'laptop portability', 'positive', 'transportable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["speaking of asus flip itself - it is great in every way !"], "output": "[['asus flip', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i am not a techie , all i can say as user - this chromebook is fast , it lasts and weighs very little ."], "output": "[['chromebook', 'laptop operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the unit is sturdy and the screen is excellent ."], "output": "[['unit', 'laptop design_features', 'positive', 'sturdy'], ['screen', 'laptop general', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["bluetooth to an external speaker is do - able , but not convenient ."], "output": "[['bluetooth', 'multimedia_devices connectivity', 'negative', 'not convenient'], ['speaker', 'multimedia_devices connectivity', 'negative', 'not convenient']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["note : my first one arrived with a crushed speaker screen on one side , though the packaging was unmolested ."], "output": "[['speaker screen', 'multimedia_devices quality', 'positive', 'crushed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is a wonderful device ."], "output": "[['device', 'laptop general', 'positive', 'wonderful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m no expert on screens but i personally think the panel looks very nice ."], "output": "[['panel', 'display design_features', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["battery life appears good but will depend on your brightness and how much streaming your doing ."], "output": "[['battery life', 'battery operation_performance', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i was able to charge it quite rapidly with the usb - c charger and was about fully charged in an hour ."], "output": "[['usb - c charger', 'power_supply operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["boot time is basically non - existent ."], "output": "[['boot time', 'os operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the touch screen works quite well and i have found myself watching videos in tablet mode with ease ."], "output": "[['touch screen', 'display operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it has non existent boot times and updates are easy ."], "output": "[['boot times', 'os operation_performance', 'positive', 'NULL'], ['updates', 'os usability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the chromebook is great as a truly mobile device - take it anywhere , open it up , and do whatever you need to do without being hassled and within moments ."], "output": "[['chromebook', 'laptop portability', 'positive', 'great'], ['device', 'laptop portability', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["love the keyboard more than its predecessor ."], "output": "[['keyboard', 'keyboard general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great battery ; charges quickly ."], "output": "[['battery', 'battery general', 'positive', 'great'], ['battery', 'battery operation_performance', 'positive', 'quickly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["good looking screen , has been bright enough for daily use , including outdoor ."], "output": "[['screen', 'display design_features', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the screen ' s color gamut is only 50 % ntsc , but as i don ' t perform image editing with it , this hasn ' t mattered ."], "output": "[[\"screen ' s color gamut\", 'display design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it worked beautifully and smoothly ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'beautifully'], ['NULL', 'laptop operation_performance', 'positive', 'smoothly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- fully charges in about an hour"], "output": "[['NULL', 'power_supply operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- backlit keyboard that ' s really quiet ( perfect for in - class typing or library use )"], "output": "[['backlit keyboard', 'keyboard general', 'positive', 'quiet'], ['backlit keyboard', 'keyboard general', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- fast boot up ( 3 seconds )"], "output": "[['boot up', 'os operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["keyboard has a nice feel to it ."], "output": "[['keyboard', 'keyboard usability', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["voice to text is good ."], "output": "[['voice to text', 'multimedia_devices general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["chrome os is like the chrome browser + apps taken up a level ."], "output": "[['chrome os', 'os operation_performance', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i don ' t know that i would want to use for work but it ' s perfect for personal use ."], "output": "[['NULL', 'laptop general', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the screen is great , the computer is fast , and looks great with the aluminum case ."], "output": "[['screen', 'display general', 'positive', 'great'], ['computer', 'laptop operation_performance', 'positive', 'fast'], ['aluminum case', 'laptop design_features', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["openvpn support needs some serious work still ."], "output": "[['openvpn support', 'support design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["don ' t get me wrong though , i love the battery life and 95 % i ' m happy chugging along , but every once in a while this rears it ' s ugly head ."], "output": "[['battery life', 'battery general', 'positive', 'love'], ['NULL', 'laptop general', 'positive', 'ugly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard is really nice - ."], "output": "[['keyboard', 'keyboard general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this chromebook works like a dream ."], "output": "[['chromebook', 'laptop operation_performance', 'positive', 'dream']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["note : i haven ' t had any issues with the touchscreen at all ."], "output": "[['touchscreen', 'display quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i used to use a ridiculously heavy d _ _ _ inspirion , which i love because of the 17 ` ` screen and capabilities , but i quickly found that carrying it anywhere caused my shoulders and back to hurt !"], "output": "[['NULL', 'display general', 'positive', 'love'], ['NULL', 'laptop usability', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i love , love , love this computer ."], "output": "[['computer', 'laptop general', 'positive', 'love'], ['computer', 'laptop general', 'positive', 'love'], ['computer', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["big screen !"], "output": "[['screen', 'display design_features', 'positive', 'big']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["sound sort of sucks but i don ' t use it for music ."], "output": "[['sound', 'multimedia_devices operation_performance', 'negative', 'sucks']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["android aspect is no longer ` ` beta , ` ` and gotten / still getting better ."], "output": "[['android', 'software general', 'positive', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard and display quality have always been asus strengths in my experience ."], "output": "[['display', 'display quality', 'positive', 'strengths']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the touchpad is not the best , but it is not that terrible either ."], "output": "[['touchpad', 'keyboard general', 'neutral', 'not the best'], ['touchpad', 'keyboard general', 'neutral', 'not that terrible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i am not fond of touchpads anyway , so probably not the best one to judge them ."], "output": "[['touchpads', 'keyboard general', 'negative', 'not fond of']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but as it stands still makes a great mobile device with excellent battery life to boot ."], "output": "[['mobile device', 'laptop general', 'positive', 'great'], ['battery life', 'battery general', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this chromebook is great system that is lightweight , has excellent battery life , and offers a fantastic keyboard ."], "output": "[['chromebook', 'laptop general', 'positive', 'great'], ['system', 'laptop general', 'positive', 'great'], ['chromebook', 'laptop design_features', 'positive', 'lightweight'], ['system', 'laptop design_features', 'positive', 'lightweight'], ['battery life', 'battery general', 'positive', 'excellent'], ['keyboard', 'keyboard general', 'positive', 'fantastic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have not fiddled around much with the touchscreen yet , but it seems very responsive ."], "output": "[['touchscreen', 'display operation_performance', 'positive', 'responsive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["sleek , great keyboard , convertible laptop with great battery life , nice display and android app support after running a system update ."], "output": "[['keyboard', 'keyboard design_features', 'positive', 'sleek'], ['keyboard', 'keyboard design_features', 'positive', 'great'], ['laptop', 'laptop design_features', 'positive', 'convertible'], ['battery life', 'battery general', 'positive', 'NULL'], ['display', 'display general', 'positive', 'nice'], ['android app support', 'support general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["oh , and this charges fast ."], "output": "[['NULL', 'power_supply operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["one of the things that drew me to the c302 was the convertible form - factor ."], "output": "[['c302', 'laptop design_features', 'positive', 'convertible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this puppy starts up quickly and has done everything i ' ve asked it to ."], "output": "[['puppy', 'laptop operation_performance', 'positive', 'quickly'], ['starts up', 'laptop operation_performance', 'positive', 'quickly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s very crisp and responsive ."], "output": "[['NULL', 'keyboard operation_performance', 'positive', 'crisp'], ['NULL', 'keyboard operation_performance', 'positive', 'responsive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the speakers are surprisingly decent ."], "output": "[['speakers', 'multimedia_devices general', 'positive', 'decent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the 100gb google drive offer is great , too ."], "output": "[['100gb google drive offer', 'software general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m more about personality than looks , but this little thing is a looker , too ."], "output": "[['NULL', 'laptop design_features', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["its fast , battery lasts for many hours , all the apps work well , the wifi on this is great , and the screen resolution is really great ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'fast'], ['battery', 'battery operation_performance', 'positive', 'NULL'], ['apps', 'software operation_performance', 'positive', 'well'], ['wifi', 'laptop connectivity', 'positive', 'great'], ['screen resolution', 'display design_features', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["for the battery , i ' ve used it to watch espn for over four hours and the battery indicator it still had 5 hours of battery left ."], "output": "[['battery', 'battery operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["nice back lit keyboard , i like the screen , but in the end , it is the software that counts ."], "output": "[['back lit keyboard', 'keyboard general', 'positive', 'nice'], ['screen', 'display general', 'positive', 'like'], ['software', 'software general', 'positive', 'counts']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m a decent size ( 5 ' 11 ` ` 230lb ) with stubby fingers and proportionate hands ."], "output": "[['size', 'laptop design_features', 'positive', 'decent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the 302 would be just about the perfect chromebook if it had smaller bezels , though ."], "output": "[['302', 'laptop design_features', 'positive', 'perfect'], ['chromebook', 'laptop design_features', 'positive', 'perfect'], ['bezels', 'laptop design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s an easy one for me : the 302 offers a better experience overall and it ' s not close ."], "output": "[['302', 'laptop quality', 'positive', 'easy'], ['302', 'laptop quality', 'positive', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["love the feel and quality of this chromebook ."], "output": "[['chromebook', 'laptop quality', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it runs android apps with power and quality ."], "output": "[['android apps', 'software operation_performance', 'positive', 'with power and quality']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["touch screen is really responsive ."], "output": "[['touch screen', 'display operation_performance', 'positive', 'responsive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["screen looks great ."], "output": "[['screen', 'display design_features', 'positive', 'great'], ['screen', 'display design_features', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["keyboard feels good ."], "output": "[['keyboard', 'keyboard quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["usb - c connectors on both sides can both charge , making the power cord location an option ."], "output": "[['usb - c connectors', 'ports design_features', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["edges of sides can be a little sharp ."], "output": "[['edges', 'laptop design_features', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keypad is really nice and i like the back light on it although i didn ' t think it was anything i really wanted ."], "output": "[['keypad', 'keyboard general', 'positive', 'nice'], ['back light', 'keyboard general', 'positive', 'like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the color of everything is so very much brighter and clearer it makes the extra cost is worth more for just that ."], "output": "[['color', 'laptop design_features', 'positive', 'brighter'], ['color', 'laptop design_features', 'positive', 'clearer'], ['color', 'laptop design_features', 'positive', 'worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the whole thing seems very sturdy but not stiff ."], "output": "[['NULL', 'laptop design_features', 'positive', 'sturdy'], ['NULL', 'laptop design_features', 'positive', 'not stiff']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["movies look good and the sound is great ."], "output": "[['sound', 'multimedia_devices operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["everything works fast and smooth ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'fast'], ['NULL', 'laptop operation_performance', 'positive', 'smooth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the asus is powerful enough to stream video , i watch tv on it , do all my google trainer work with it , and all my daily work too ."], "output": "[['asus', 'laptop operation_performance', 'positive', 'powerful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the fact that i can flip it into tablet is cool , the audio is decent , i love the feel of the keyboard , i didn ' t think touch screen was a big deal , but i use it all the time now with joy , ya ."], "output": "[['tablet', 'laptop design_features', 'positive', 'cool'], ['keyboard', 'keyboard general', 'positive', 'love'], ['touch screen', 'display general', 'positive', 'joy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i did my research and found a combination of features i wanted : quality screen , faster processor , google play store compatibility , quality keyboard with a solid feel and the option to use as a tablet ."], "output": "[['screen', 'display quality', 'positive', 'quality'], ['processor', 'cpu operation_performance', 'positive', 'faster'], ['google play store', 'software operation_performance', 'positive', 'compatibility'], ['keyboard', 'keyboard quality', 'positive', 'NULL'], ['keyboard', 'keyboard quality', 'positive', 'solid'], ['NULL', 'laptop usability', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i will admit that i needed to get used to a combination of keystrokes and screen touches , but the touch screen is both sensitive and accurate ."], "output": "[['keystrokes', 'keyboard usability', 'negative', 'NULL'], ['screen touches', 'keyboard usability', 'negative', 'NULL'], ['touch screen', 'display usability', 'positive', 'sensitive'], ['touch screen', 'display usability', 'positive', 'accurate']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["asus has definitely broadened the flexibility and usefulness of this niche ."], "output": "[['asus', 'company general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great product !"], "output": "[['product', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the asus chromebook flip 302 fit the bill ."], "output": "[['asus chromebook flip 302', 'laptop design_features', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve been using it for almost three weeks now and it has not let me down ."], "output": "[['NULL', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this has been an upgrade from me as the 4 gb of memory has made a difference in many ways , but most of all with long documents ."], "output": "[['4 gb of memory', 'memory quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s performance is quite zippy and the screen is very sharp and bright ."], "output": "[['performance', 'laptop operation_performance', 'positive', 'zippy'], ['screen', 'display design_features', 'positive', 'sharp'], ['screen', 'display design_features', 'positive', 'bright']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["workmanship is top notch ."], "output": "[['workmanship', 'laptop quality', 'positive', 'top notch']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["bought this because of the touch screen and specs capable of running android ( and it ' s a supported model ) ."], "output": "[['specs', 'laptop design_features', 'positive', 'capable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["a little disappointed with the android experience ."], "output": "[['android experience', 'software operation_performance', 'negative', 'disappointed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["as a chrome book it is excellent , but android support is unsatisfying ."], "output": "[['chrome book', 'laptop general', 'positive', 'excellent'], ['android support', 'software general', 'negative', 'unsatisfying']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this chromebook is awesome ."], "output": "[['chromebook', 'laptop general', 'positive', 'awesome']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have a lot of asus products and am happy with their service and quality of product , and this is no exception ."], "output": "[['asus products', 'laptop quality', 'positive', 'happy'], ['asus products', 'laptop quality', 'positive', 'happy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the tablet here works well ."], "output": "[['tablet', 'laptop operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the touchscreen works well , the apps generally work , the performance is good ."], "output": "[['touchscreen', 'display operation_performance', 'positive', 'well'], ['apps', 'software operation_performance', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["screen resolution is good ."], "output": "[['screen resolution', 'display design_features', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the mousepad is functional but really doesnt get in the way ."], "output": "[['mousepad', 'keyboard operation_performance', 'neutral', 'functional']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["basically , it is great for work and media as long as you dont need other proprietary programs to do your work ."], "output": "[['NULL', 'software operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i absolutely love this chromebook ."], "output": "[['chromebook', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["looks great ."], "output": "[['NULL', 'laptop design_features', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very portable ."], "output": "[['NULL', 'laptop portability', 'positive', 'portable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["only problem i have had , which was from the moment i started using it is the audio ."], "output": "[['audio', 'multimedia_devices operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["first the volume does not get very loud ."], "output": "[['volume', 'multimedia_devices operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve had this for about 3 weeks , and i ' m loving it ."], "output": "[['NULL', 'laptop general', 'positive', 'loving']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the screen is a little smaller , but it ' s touch and even higher resolution ."], "output": "[['screen', 'display design_features', 'neutral', 'smaller'], ['screen', 'display design_features', 'positive', 'touch'], ['screen', 'display design_features', 'positive', 'higher']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard is great , and it ' s backlit !"], "output": "[['keyboard', 'keyboard general', 'positive', 'great'], ['backlit', 'keyboard general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the build quality is fantastic ."], "output": "[['build quality', 'laptop quality', 'positive', 'fantastic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it starts up fast ."], "output": "[['starts up', 'os operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the second issue i have with this machine so far is that if you have several gmail accounts , it gets really confusing to find your files , where they go , where they were saved ."], "output": "[['machine', 'laptop design_features', 'negative', 'confusing'], ['gmail accounts', 'software design_features', 'negative', 'confusing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["and since i do a lot of photos for work , the google environment makes inserting photos into docs a breeze ."], "output": "[['google environment', 'software usability', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["for the price , 5 stars ."], "output": "[['NULL', 'laptop price', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very impressive design ."], "output": "[['design', 'laptop design_features', 'positive', 'impressive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["nice build quality , very fast and beautiful display ."], "output": "[['build quality', 'laptop quality', 'positive', 'nice'], ['display', 'display general', 'positive', 'fast'], ['display', 'display general', 'positive', 'beautiful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i work with an it company and we ' re testing an all android environment and it ' s working out pretty well so far ."], "output": "[['android environment', 'software operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it stays very cool to the touch and the performance has really been amazing ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'cool'], ['NULL', 'laptop operation_performance', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m very very happy with this fast lightweight convertible chromebook and my search has concluded ."], "output": "[['chromebook', 'laptop operation_performance', 'positive', 'happy'], ['chromebook', 'laptop operation_performance', 'positive', 'fast'], ['chromebook', 'laptop design_features', 'positive', 'lightweight'], ['chromebook', 'laptop design_features', 'positive', 'convertible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["has everything i was looking for , such as touch screen capability , tablet convertible , small bezel , lightweight and small footprint , * backlit * keyboard , not one but two * * usb - c * * ports , octane 2 ."], "output": "[['touch screen capability', 'keyboard general', 'positive', 'NULL'], ['tablet', 'laptop design_features', 'positive', 'convertible'], ['bezel', 'laptop design_features', 'positive', 'small'], ['footprint', 'laptop design_features', 'positive', 'lightweight'], ['footprint', 'laptop design_features', 'positive', 'NULL'], ['* backlit * keyboard', 'keyboard general', 'positive', 'NULL'], ['* * usb - c * * ports', 'ports general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i love chromebooks and have been using them before they were available to the public ."], "output": "[['chromebooks', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the asus chromebook flip is the best one i have owned ."], "output": "[['asus chromebook flip', 'laptop general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it has a quality construction making it feel like a much more expensive laptop and the performance is perfect for those who use a chromebook for everyday computing and entertainment ."], "output": "[['performance', 'laptop operation_performance', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it doubles as an android tablet and so far the experience with running android apps has been good ."], "output": "[['android apps', 'software operation_performance', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["battery life is right at 10 hours as advertised and the keyboard feels great when typing out emails ."], "output": "[['battery life', 'battery operation_performance', 'positive', 'NULL'], ['keyboard', 'keyboard operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if you are looking for a quality chromebook with the most important features for everyday use , the asus flip is a fantastic choice ."], "output": "[['chromebook', 'laptop general', 'positive', 'quality'], ['asus flip', 'laptop general', 'positive', 'fantastic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the only thing i think that could be better is the volume of the speakers ."], "output": "[['speakers', 'multimedia_devices general', 'negative', 'could be better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i just love my asus chromebook , i take it everywhere ."], "output": "[['asus chromebook', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if you ' re looking for a good chromebook , this is the one for you ."], "output": "[['chromebook', 'laptop general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["a fantastic product , with an aluminum frame , touchscreen , and high definition ; high resolution screen ; you can ' t beat this ."], "output": "[['product', 'laptop general', 'positive', 'fantastic'], ['touchscreen', 'laptop general', 'neutral', 'NULL'], ['definition', 'display general', 'positive', 'high'], ['touchscreen', 'display general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the m3 is great , never slow or laggy ."], "output": "[['m3', 'laptop operation_performance', 'positive', 'great'], ['m3', 'laptop operation_performance', 'positive', 'never slow or laggy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i mainly download movies over the netflix app and watch movies on the airplane and internet browsing in hotel rooms ."], "output": "[['netflix app', 'software general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the chromebook loads everything lightning fast and provides a simple user experience that gets you where you need to go quickly and efficiently ."], "output": "[['chromebook', 'laptop operation_performance', 'positive', 'fast'], ['chromebook', 'laptop operation_performance', 'positive', 'quickly'], ['chromebook', 'laptop operation_performance', 'positive', 'efficiently']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the computer itself is sturdy and feels well - made , though the keyboard is a bit smaller than i ' m used to ."], "output": "[['computer', 'laptop design_features', 'positive', 'sturdy'], ['computer', 'laptop design_features', 'positive', 'well - made'], ['keyboard', 'keyboard design_features', 'negative', 'smaller']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this keyboard was perfect - not cramped and highly responsive ."], "output": "[['keyboard', 'keyboard operation_performance', 'positive', 'perfect'], ['keyboard', 'keyboard operation_performance', 'positive', 'not cramped'], ['keyboard', 'keyboard operation_performance', 'positive', 'responsive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the pricing was too good to pass up and i ' ve really been pleased with the product ."], "output": "[['product', 'laptop price', 'positive', 'good'], ['product', 'laptop general', 'positive', 'pleased']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i plan to take it with me when working as i have gotten approximately 8 - 9 hrs of battery time usage so far ."], "output": "[['battery time usage', 'battery operation_performance', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is my first chromebook so i am still learning the ins and outside but am very impressed with the whole package ."], "output": "[['chromebook', 'laptop design_features', 'positive', 'impressed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["there is nothing i can ' t do on this amazing thing ."], "output": "[['NULL', 'laptop general', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["battery life is good ."], "output": "[['battery life', 'battery general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["touch pad is a + + ."], "output": "[['touch pad', 'keyboard general', 'positive', 'a +']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["sound is ."], "output": "[['sound', 'multimedia_devices general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s lightweight , sleek , and sexy as hell ."], "output": "[['NULL', 'laptop design_features', 'positive', 'lightweight'], ['NULL', 'laptop design_features', 'positive', 'sleek'], ['NULL', 'laptop design_features', 'positive', 'sexy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["keyboard is the best laptop keyboard i have ever used ."], "output": "[['NULL', 'keyboard usability', 'positive', 'best'], ['laptop keyboard', 'keyboard usability', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i did a massive amount of research and found that the asus chromebook flip c302ca with 64 gigs was exactly what i wanted ."], "output": "[['asus chromebook flip c302ca', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this chromebook not only meets those requirements it has exceeded my expectations ."], "output": "[['chromebook', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the intel i3 processor simply flys ."], "output": "[['intel i3 processor', 'cpu operation_performance', 'positive', 'flys']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the machine is incredibly responsive ."], "output": "[['machine', 'laptop operation_performance', 'positive', 'incredibly'], ['machine', 'laptop operation_performance', 'positive', 'responsive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i see absolutely no lag on videos or streaming content ."], "output": "[['videos', 'software operation_performance', 'positive', 'NULL'], ['streaming content', 'software operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the track pad , which i don ' t use , is also highly responsive ."], "output": "[['track pad', 'keyboard operation_performance', 'positive', 'responsive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the fact that it flips to become a tablet style unit , the great build quality ( all aluminum chassis , top and sides ) , etc ."], "output": "[['build quality', 'laptop quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve used this daily for nearly eight months and have been very happy with ."], "output": "[['NULL', 'laptop general', 'positive', 'happy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the screen is bright and beautiful ."], "output": "[['screen', 'display design_features', 'positive', 'bright'], ['screen', 'display design_features', 'positive', 'beautiful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the overall device is slim and lightweight ."], "output": "[['device', 'laptop design_features', 'positive', 'slim'], ['device', 'laptop design_features', 'positive', 'lightweight']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["in practice , the device is heavier than is comfortable for this ."], "output": "[['device', 'laptop usability', 'negative', 'heavier'], ['device', 'laptop usability', 'negative', 'than is comfortable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["battery life is fantastic giving me over 8 hours easily with moderate usage ."], "output": "[['battery life', 'battery operation_performance', 'positive', 'fantastic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i knocked off a star for build quality control ."], "output": "[['build quality control', 'laptop quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard is great and the mouse hasn ' t given me the issues my old laptop gave me ."], "output": "[['mouse', 'mouse general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the screen is plenty big and the visual very nice ."], "output": "[['screen', 'display design_features', 'positive', 'big'], ['screen', 'display quality', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the backlit keyboard is very nice and only comes on in low light ."], "output": "[['backlit keyboard', 'keyboard general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this chromebook is fast ."], "output": "[['chromebook', 'laptop operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the display is clear ."], "output": "[['display', 'display operation_performance', 'positive', 'clear']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if this guy is in your price range - just buy it and get it over with ."], "output": "[['guy', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is remarkably fast on chrome os and the screen is very clear ( but glossy ) ."], "output": "[['chrome os', 'os operation_performance', 'positive', 'fast'], ['screen', 'display quality', 'positive', 'clear'], ['screen', 'display quality', 'positive', 'glossy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["battery life appears to be pretty good too ."], "output": "[['battery life', 'battery general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["chrome has come a long way to be sure and in its optimized avatar on this system its very snappy ."], "output": "[['chrome', 'software operation_performance', 'positive', 'snappy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard is also very comfortable to type on ."], "output": "[['keyboard', 'keyboard usability', 'positive', 'comfortable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the touchscreen functions very well , both in laptop and tablet mode , and the trackpad and keyboard are enjoyable to use ."], "output": "[['touchscreen', 'keyboard operation_performance', 'positive', 'well'], ['trackpad', 'keyboard usability', 'positive', 'enjoyable'], ['keyboard', 'keyboard usability', 'positive', 'enjoyable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i really like this chromebook ."], "output": "[['chromebook', 'laptop general', 'positive', 'like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have had my asus chromebook for several months and feel liberated from electronic hell ."], "output": "[['asus chromebook', 'laptop general', 'positive', 'liberated']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is great quality ."], "output": "[['NULL', 'laptop quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["pro ' s : flip functions are great ; especially for watching movies or flipping through powerpoint or photos ."], "output": "[['flip functions', 'hardware operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["touch screen and zoom is great ."], "output": "[['touch screen', 'hardware general', 'positive', 'great'], ['zoom', 'hardware general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my biggest gripe with this that makes me incredibly frustrated is that google hangouts is unreliable on this ."], "output": "[['google hangouts', 'software operation_performance', 'negative', 'unreliable'], ['google hangouts', 'software operation_performance', 'negative', 'frustrated']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is a great device if your main goal is to check email , surf the internet listen to music or watch videos ."], "output": "[['device', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["tapping it on either end is hit or miss ."], "output": "[['tapping', 'keyboard operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["easy to setup and use"], "output": "[['NULL', 'laptop usability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve been happy with all of the asus devices i ' ve purchased ( several computers and tablets ) but this is a real gem ."], "output": "[['asus devices', 'laptop general', 'positive', 'happy'], ['asus devices', 'laptop general', 'positive', 'gem']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard is basically perfect for a laptop , the touchscreen is amazing , and battery life is usually over 10 hours ."], "output": "[['touchscreen', 'display general', 'positive', 'amazing'], ['battery life', 'battery operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if you are looking to ditch apple i recommend it and touch screen works great and easy to read movie scripts to take notes ."], "output": "[['NULL', 'laptop general', 'positive', 'recommend'], ['touch screen', 'display operation_performance', 'positive', 'great'], ['NULL', 'laptop operation_performance', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["everything looked great ."], "output": "[['NULL', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve found the large trackpad to be responsive and accurate ."], "output": "[['trackpad', 'hardware operation_performance', 'positive', 'responsive'], ['trackpad', 'hardware operation_performance', 'positive', 'accurate']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["backlit keyboard is extremely viewable and comfortable ."], "output": "[['backlit keyboard', 'keyboard usability', 'positive', 'viewable'], ['backlit keyboard', 'keyboard usability', 'positive', 'comfortable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["she loves this laptop ."], "output": "[['laptop', 'laptop general', 'positive', 'loves']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very solid build quality ."], "output": "[['build quality', 'laptop quality', 'positive', 'solid']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["charging is crazy fast ."], "output": "[['NULL', 'power_supply operation_performance', 'positive', 'crazy'], ['NULL', 'power_supply operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the good news is that the android features ( google play store apps ) work nearly across the board ."], "output": "[['android features', 'software operation_performance', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["chrome os is pretty simplistic and easy to learn ."], "output": "[['chrome os', 'os usability', 'positive', 'simplistic'], ['chrome os', 'os usability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["touch - screen features are responsive ."], "output": "[['touch - screen', 'display operation_performance', 'positive', 'responsive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so far , this chromebook is fantastic ."], "output": "[['chromebook', 'laptop general', 'positive', 'fantastic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it served my needs of web browsing and word processing for a number of years , but its battery life had dwindled and neither the screen nor the processor can match this asus ."], "output": "[['battery life', 'battery general', 'negative', 'NULL'], ['screen', 'display general', 'negative', 'NULL'], ['processor', 'cpu general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it boots in seconds , and i get ~ 10 hours out of the battery ."], "output": "[['boots', 'os operation_performance', 'positive', 'NULL'], ['battery', 'battery operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve had this device for 5 days so i ' ll keep my review simple ."], "output": "[['device', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i absolutely love everything about this chromebook ."], "output": "[['chromebook', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the build quality is top notch , screen looks wonderful , the keyboard feels comfortable and the back lit keys are a nice touch ."], "output": "[['build quality', 'laptop quality', 'positive', 'top notch'], ['screen', 'display general', 'positive', 'wonderful'], ['keyboard', 'keyboard usability', 'positive', 'comfortable'], ['back lit keys', 'keyboard usability', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["a + device and i would highly recommend it ."], "output": "[['device', 'laptop general', 'positive', 'a +'], ['device', 'laptop general', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i am happy to say that this is a really well built , capable machine and i am very very happy with this chromebook ."], "output": "[['machine', 'laptop quality', 'positive', 'capable'], ['machine', 'laptop quality', 'positive', 'well'], ['chromebook', 'laptop general', 'positive', 'happy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["in all , this is really great machine and i am very very pleased with hardware and chrome os so far ."], "output": "[['machine', 'laptop general', 'positive', 'great'], ['hardware', 'hardware general', 'positive', 'pleased'], ['chrome os', 'os general', 'positive', 'pleased']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s super portable and sleek ."], "output": "[['NULL', 'laptop portability', 'positive', 'portable'], ['NULL', 'laptop design_features', 'positive', 'sleek']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have to say that the keyboard is my favorite feature ."], "output": "[['keyboard', 'keyboard general', 'positive', 'favorite']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["please note that the track pad is way better than most ."], "output": "[['track pad', 'hardware general', 'positive', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i just got this yesterday and i am very satisfied with the speed ."], "output": "[['speed', 'laptop operation_performance', 'positive', 'satisfied']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i use this for leisure activities and the ability to flip this around to watch movies is awesome !"], "output": "[['NULL', 'laptop operation_performance', 'positive', 'awesome']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["good screen quality for reading , fairly fast i3 processor , and decent battery life ."], "output": "[['screen quality', 'display quality', 'positive', 'good'], ['i3 processor', 'cpu operation_performance', 'positive', 'fast'], ['battery life', 'battery general', 'positive', 'decent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i absolutely love this laptop ."], "output": "[['laptop', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["lightweight , gorgeous , great screen / picture quaity , sound could be louder but still good , fast processor ( i do a lot of research , photo processing , netflix watching and reading on the laptop ) ."], "output": "[['NULL', 'laptop design_features', 'positive', 'lightweight'], ['NULL', 'laptop design_features', 'positive', 'gorgeous'], ['sound', 'multimedia_devices general', 'positive', 'good'], ['processor', 'cpu operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["pros : light - sensor back - lit keyboard , great battery , fast startup , average - student friendly"], "output": "[['back - lit keyboard', 'keyboard design_features', 'positive', 'pros'], ['battery', 'battery general', 'positive', 'pros'], ['battery', 'battery general', 'positive', 'great'], ['startup', 'os operation_performance', 'positive', 'pros'], ['startup', 'os operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["cons : no caps lock key ( still haven ' t found it , help ! )"], "output": "[['caps lock key', 'keyboard design_features', 'negative', 'cons']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i purchased this machine on cyber monday for $ 375 ( $ 75 off the listing price at the time of this review ) and i think at that price point , it ' s well worth it ."], "output": "[['machine', 'laptop quality', 'positive', 'well worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the startup time is ridiculously fast , and just opening the laptop will turn it on and get you going on chrome within 10 seconds - i ' ve had as many as 12 tabs open , and it still ran smoothly ."], "output": "[['startup time', 'os operation_performance', 'positive', 'fast'], ['chrome', 'software operation_performance', 'positive', 'smoothly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the battery life is a huge selling point in my opinion : even after multiple shut - downs / start - ups throughout the day , i get about 10 hours total run - time , and charging only takes about an hour ."], "output": "[['battery life', 'battery operation_performance', 'positive', 'NULL'], ['NULL', 'power_supply operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["all in all , this is a great laptop for the casual user , especially at this price point ."], "output": "[['laptop', 'laptop miscellaneous', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if you want to watch movies or listen to music , this might not be the machine for you ."], "output": "[['machine', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the key features that drew me to this chromebook was design , a quality keyboard that had backlit keys , and a good processor ."], "output": "[['keyboard', 'keyboard quality', 'positive', 'quality'], ['backlit keys', 'keyboard quality', 'positive', 'quality'], ['processor', 'cpu general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i did not find the battery to last a full ten hours ."], "output": "[['battery', 'battery operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["however , it charges insanely quickly : you can get a full charge in under an hour ."], "output": "[['NULL', 'power_supply operation_performance', 'positive', 'quickly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the touchscreen is great though and feels very intuitive ."], "output": "[['touchscreen', 'display general', 'positive', 'great'], ['touchscreen', 'display general', 'positive', 'intuitive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["keyboard is fantastic ."], "output": "[['keyboard', 'keyboard general', 'positive', 'fantastic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["outstanding laptop ."], "output": "[['laptop', 'laptop general', 'positive', 'outstanding']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["super easy to use ."], "output": "[['NULL', 'laptop usability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it starts up fast , goes seamlessly from computer mode to ` ` tent ` ` mode to tablet mode ."], "output": "[['starts up', 'laptop operation_performance', 'positive', 'fast'], ['computer mode', 'laptop operation_performance', 'positive', 'seamlessly'], ['tablet mode', 'laptop operation_performance', 'positive', 'seamlessly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it had everything i wanted and more ."], "output": "[['NULL', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["battery lasts me all day , it ' s big screen is easy on the eyes ."], "output": "[['battery', 'battery operation_performance', 'positive', 'NULL'], ['screen', 'display design_features', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is a great chromebook !"], "output": "[['chromebook', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["for me the extra storage , back light keyboard ( you ' ll love it ) , 2 in 1 factor , and great build quality made it a no - brainer ."], "output": "[['storage', 'hard_disc design_features', 'positive', 'NULL'], ['back light keyboard', 'keyboard general', 'positive', 'love'], ['build quality', 'laptop quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["and the price is excellent for what you get ."], "output": "[['NULL', 'laptop price', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve been using this for a couple of weeks and i must say i am very very pleased with the product ."], "output": "[['product', 'laptop general', 'positive', 'pleased']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- great quality build ."], "output": "[['quality build', 'laptop quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- 360 degrees flipping is actually pretty practical"], "output": "[['360 degrees flipping', 'laptop design_features', 'positive', 'practical']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- backlit and solid keyboard ( not flimsy or cheap )"], "output": "[['keyboard', 'keyboard design_features', 'positive', 'solid'], ['keyboard', 'keyboard design_features', 'positive', 'not flimsy or cheap']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- touch screen is very accurate"], "output": "[['touch screen', 'display general', 'positive', 'accurate']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- side buttons are responsive and well - made"], "output": "[['side buttons', 'hardware operation_performance', 'positive', 'responsive'], ['side buttons', 'hardware design_features', 'positive', 'well - made']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- battery life is a bit short after some gaming"], "output": "[['battery life', 'battery operation_performance', 'negative', 'short']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["- touch pad seems a little off to me ."], "output": "[['touch pad', 'hardware operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["other than that it ' s everything i imagined and more ."], "output": "[['NULL', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the m3 processor is pretty good ( decent speedometer score ) ."], "output": "[['m3 processor', 'cpu general', 'positive', 'good'], ['m3 processor', 'cpu general', 'positive', 'decent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the body of the chromebook feels solid due to the aluminium body ."], "output": "[['body of the chromebook', 'laptop design_features', 'positive', 'solid']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["trackpad is nice and quiet and responsive ."], "output": "[['trackpad', 'keyboard general', 'positive', 'nice'], ['trackpad', 'keyboard operation_performance', 'positive', 'quiet'], ['trackpad', 'keyboard operation_performance', 'positive', 'responsive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["as soon as i learned about c302 , i decided top bought it ."], "output": "[['c302', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this little chromebook is amazing ."], "output": "[['chromebook', 'laptop general', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the battery lasts a solid 8 + hours unless you ' re playing games its more like 4 - 5 ."], "output": "[['battery', 'battery operation_performance', 'positive', 'solid']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall a good chromebook ."], "output": "[['chromebook', 'laptop general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["outside of that , the keyboard is solid , the back lighting was not a selling point to me ."], "output": "[['keyboard', 'keyboard design_features', 'positive', 'solid'], ['back lighting', 'keyboard design_features', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the speakers overall are not very good ."], "output": "[['speakers', 'multimedia_devices general', 'negative', 'not very good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["track pad is passable ."], "output": "[['track pad', 'keyboard general', 'neutral', 'passable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["screen is nice ."], "output": "[['screen', 'display general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i find it to be a little large when used in tablet mode ."], "output": "[['tablet mode', 'laptop design_features', 'negative', 'large']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall , i am happy with it and would purchase it again ."], "output": "[['NULL', 'laptop general', 'positive', 'happy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i tried the unit at best buy and to be honest , it felt a bit flimsy as a laptop ."], "output": "[['laptop', 'laptop general', 'negative', 'flimsy'], ['unit', 'laptop general', 'negative', 'flimsy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard is awkward to the touch and the internals only has 32gb of hard drive ."], "output": "[['keyboard', 'keyboard design_features', 'negative', 'awkward'], ['hard drive', 'hard_disc design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the sound isn ' t great on both devices but they ' ll suffice ; at least the asus speakers are side - firing and not coming from the bottom like the pro ."], "output": "[['asus speakers', 'multimedia_devices design_features', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so far i absolutely love it ."], "output": "[['NULL', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["love how fast it is , love that it can do everything i ' ve asked it to do so far in the two weeks i ' ve owned it , and i love how compact and easy it is to carry around ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'love'], ['NULL', 'laptop operation_performance', 'positive', 'fast'], ['NULL', 'laptop operation_performance', 'positive', 'love'], ['NULL', 'laptop portability', 'positive', 'NULL'], ['NULL', 'laptop portability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it greatly exceeded my expectations ."], "output": "[['NULL', 'laptop general', 'positive', 'greatly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["pro ' s : this chromebook is very light ."], "output": "[['chromebook', 'laptop design_features', 'positive', 'light']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i don ' t know why google print is so touchy ."], "output": "[['google print', 'software operation_performance', 'negative', 'touchy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the second is also a known trouble spot with android , and that is the microsd card ."], "output": "[['microsd card', 'out_of_scope general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall excellent machine , great keyboard & trackpad , very fast , battery lasts for hours , but know what you ' re getting into with chrome os ."], "output": "[['keyboard', 'hardware general', 'positive', 'great'], ['trackpad', 'hardware general', 'positive', 'great'], ['NULL', 'laptop general', 'positive', 'fast'], ['battery', 'battery operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is a capable chromebook !"], "output": "[['chromebook', 'laptop general', 'positive', 'capable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this asus chromebook c302ca does not skip a beat ."], "output": "[['asus chromebook c302ca', 'laptop operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is a good product based on my experience - i have used this for almost a whole month ."], "output": "[['product', 'laptop general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the asus flip is perfect for me ."], "output": "[['asus flip', 'laptop general', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so i went ahead and ordered the c302ca , and after a week of use there are no issues to report ."], "output": "[['c302ca', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i guess like anything else nothing will always be perfect , and so far this chromebook is everything i hoped for ."], "output": "[['chromebook', 'laptop general', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["for anyone wanting a small footprint 1080p chromebook , this one is hard to beat ."], "output": "[['footprint 1080p chromebook', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m loving this thing ."], "output": "[['NULL', 'laptop general', 'positive', 'loving']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["superb quality , looks and feels like apple , keyboard is great , the touchpad is flawless and the screen is brilliant , battery life is great too ."], "output": "[['quality', 'laptop quality', 'positive', 'superb'], ['keyboard', 'keyboard general', 'positive', 'great'], ['touchpad', 'hardware operation_performance', 'positive', 'flawless'], ['screen', 'display general', 'positive', 'brilliant'], ['battery life', 'battery general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["yet , compare with other flip - style of chromebooks , the screen is sufficient for me to do my code ."], "output": "[['screen', 'display usability', 'positive', 'sufficient']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the biggest reason for me to pick this laptop over others is the light - weight design and its overall spec ."], "output": "[['laptop', 'laptop design_features', 'positive', 'light - weight'], ['design', 'laptop design_features', 'positive', 'light - weight'], ['spec', 'laptop design_features', 'positive', 'light - weight']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i like it , good construction , can load android apps ."], "output": "[['construction', 'laptop design_features', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the main complaints are the touch screen ."], "output": "[['touch screen', 'display general', 'negative', 'complaints']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i am a big chromebook enthusiast , and this is by far the best chromebook built to date ."], "output": "[['chromebook', 'laptop general', 'positive', 'enthusiast'], ['NULL', 'laptop general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["asus hit all the right notes on this one ."], "output": "[['asus', 'company general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great keyboard ."], "output": "[['keyboard', 'keyboard general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great display ."], "output": "[['display', 'display general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great build materials and quality ."], "output": "[['build materials', 'laptop quality', 'positive', 'great'], ['quality', 'laptop quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["excellent choice in processor ."], "output": "[['processor', 'cpu general', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m very happy i chose this unit ."], "output": "[['unit', 'laptop general', 'positive', 'happy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["battery life is great if you use half of the brightness ."], "output": "[['battery life', 'battery operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["after purchasing , this chromebook came with me on a 2 week trip to china ."], "output": "[['chromebook', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard has a nice quiet touch ."], "output": "[['keyboard', 'keyboard operation_performance', 'positive', 'nice'], ['keyboard', 'keyboard operation_performance', 'positive', 'quiet']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it fit nicely into my backpack without taking up space or weighing me down ."], "output": "[['NULL', 'laptop portability', 'positive', 'nicely']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["chrome os is intuitive and easy to use ."], "output": "[['chrome os', 'os usability', 'positive', 'intuitive'], ['chrome os', 'os usability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this little silver bullet is compact , functional , and has held up to everything i ' ve thrown at it ."], "output": "[['silver bullet', 'laptop operation_performance', 'positive', 'compact'], ['silver bullet', 'laptop operation_performance', 'positive', 'functional']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["chrome extensions are great productivity tools to boot - they help me squeeze the most out of everyday ."], "output": "[['chrome extensions', 'software general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the reason for a 4 star rating is due to the provided power cord failing to charge within two months ."], "output": "[['power cord', 'power_supply operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the speakers are not great , but bluetooth connection to an external speaker is standard these days and it ' s how we watch movies ."], "output": "[['bluetooth connection', 'ports connectivity', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["extremely disappointed that you can not run android apps on this chromebook , despite the description stating clearly that you can , and the seller responding to my question regarding this question ."], "output": "[['seller', 'support general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["other than that i ' m pleased with the performance ."], "output": "[['performance', 'laptop general', 'positive', 'pleased']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this chromebook is amazing , i have had zero issues with it thus far and i ' ve used it quite extensively during the semester ."], "output": "[['chromebook', 'laptop general', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard on this thing is my favorite part of the computer ."], "output": "[['keyboard', 'keyboard general', 'positive', 'favorite'], ['computer', 'laptop general', 'positive', 'favorite']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it feels amazing and the travel is perfect ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'amazing'], ['travel', 'keyboard portability', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this biggest weak point and my only major complaint is that the speakers on it just suck ."], "output": "[['speakers', 'multimedia_devices general', 'negative', 'weak'], ['speakers', 'multimedia_devices general', 'negative', 'complaint'], ['speakers', 'multimedia_devices general', 'negative', 'suck']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["they are loud enough to fill a small , quiet room , but that is about it ."], "output": "[['NULL', 'multimedia_devices operation_performance', 'neutral', 'loud']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall , i am very happy with this purchase , and i am in love with the simplicity of the google ecosystem ."], "output": "[['NULL', 'laptop general', 'positive', 'happy'], ['google ecosystem', 'out_of_scope usability', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this battery lasts for 5 + hours on some of the most taxing apps my phone can run ."], "output": "[['battery', 'battery operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the pic quality is pretty good , though not 4k , the sound is pretty good for a laptop that is less than a half inch thick and weighs less than 3 pounds ."], "output": "[['sound', 'multimedia_devices general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the touchscreen is great and the backlit keyboard is fantastic ."], "output": "[['touchscreen', 'display general', 'positive', 'great'], ['backlit keyboard', 'keyboard general', 'positive', 'fantastic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["asus is a great computer company ."], "output": "[['asus', 'company general', 'positive', 'great'], ['computer company', 'company general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["while i hate that it doesn ' t have a caps key , so i have to keep using the shift key to capitalize my letters , the device itself is lightweight , has a very nice backlit keyboard , and works well for the purposes of taking it on the road and using it with wifi at your local coffeeshop ."], "output": "[['device', 'laptop design_features', 'positive', 'lightweight'], ['backlit keyboard', 'keyboard general', 'positive', 'nice'], ['NULL', 'laptop operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the aluminum construction is every bit as nice as my 12 ` ` macbook , the keyboard is excellent and has better travel / feedback and the trackpad is the best i ' ve used on any asus portable ."], "output": "[['keyboard', 'keyboard general', 'positive', 'excellent'], ['travel / feedback', 'laptop portability', 'positive', 'better'], ['trackpad', 'hardware general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the 1080p screen is bright and has decent viewing angles , the hinge is smooth and solid enough to not shake when typing on your lap ."], "output": "[['1080p screen', 'display quality', 'positive', 'bright'], ['1080p screen', 'display quality', 'positive', 'decent'], ['hinge', 'laptop quality', 'positive', 'smooth'], ['hinge', 'laptop quality', 'positive', 'solid']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve found the touch screen is pretty handy ."], "output": "[['touch screen', 'display usability', 'positive', 'handy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s very quick , despite the dsl internet connection we have ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'quick']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve only utilized the 360 degree opening once and so far i like it ."], "output": "[['NULL', 'laptop general', 'positive', 'like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is my first chromebook , and i ' m absolutely loving it ."], "output": "[['this', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m beyond satisfied with this chromebook , it is stunning in every way ."], "output": "[['chromebook', 'laptop general', 'positive', 'satisfied'], ['chromebook', 'laptop general', 'positive', 'stunning']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["no problems with play store / android apps ."], "output": "[['play store / android apps', 'software general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["light weight , very convenient to use ."], "output": "[['NULL', 'laptop design_features', 'positive', 'light'], ['NULL', 'laptop usability', 'positive', 'convenient']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["nice keyboard ."], "output": "[['keyboard', 'keyboard general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i would never have thought that a chromebook would be so fun to use ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'fun']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["its really quick at loading web pages ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'quick']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i love how much you can customize this and also it is pretty speedy !"], "output": "[['NULL', 'laptop operation_performance', 'positive', 'love'], ['NULL', 'laptop operation_performance', 'positive', 'speedy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["definitely the best chromebook out there ."], "output": "[['chromebook', 'laptop general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' d say the only drawback might be the speakers ."], "output": "[['speakers', 'multimedia_devices general', 'negative', 'drawback']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["love the backlit keyboard not a lot of screen wobble - was a bit worried about the screen ratio in tablet mode but it ' s just fine ."], "output": "[['backlit keyboard', 'keyboard general', 'positive', 'love'], ['screen ratio', 'display general', 'negative', 'worried'], ['screen ratio', 'display general', 'positive', 'fine']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this unit is extremely well built ."], "output": "[['unit', 'laptop design_features', 'positive', 'well built']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the speed at which this charges and reboots is amazing , and the battery life is long ."], "output": "[['charges', 'power_supply operation_performance', 'positive', 'amazing'], ['reboots', 'os operation_performance', 'positive', 'amazing'], ['battery life', 'battery operation_performance', 'positive', 'long']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard is also one of the nicest most comfortable i have ever used ."], "output": "[['keyboard', 'keyboard usability', 'positive', 'nicest'], ['keyboard', 'keyboard usability', 'positive', 'comfortable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["in closing , if you are looking for a nice on the go computer or something to take to college , this is an excellent choice ."], "output": "[['computer', 'laptop general', 'positive', 'nice'], ['computer', 'laptop general', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the screen is crisp and bright ."], "output": "[['screen', 'display quality', 'positive', 'crisp'], ['screen', 'display quality', 'positive', 'bright']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["battery life is good at about 10 hours ."], "output": "[['battery life', 'battery operation_performance', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard is spacious , and has a nice tactile feel ."], "output": "[['keyboard', 'keyboard design_features', 'positive', 'spacious'], ['keyboard', 'keyboard operation_performance', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["running android apps themselves are a pretty ` ` meh ` ` experience ."], "output": "[['android apps', 'software operation_performance', 'negative', 'meh']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["games are hit and miss ."], "output": "[['games', 'software general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["as far as a chromebook device this is the chromebook to get in early 2017 , and worth every bit of the $ 499 price tag imho ."], "output": "[['chromebook device', 'laptop general', 'positive', 'worth'], ['NULL', 'laptop general', 'positive', 'worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["a great chromebook ."], "output": "[['chromebook', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["looks wise it ' s beautiful , i love the minimal design and layout ."], "output": "[['NULL', 'laptop design_features', 'positive', 'beautiful'], ['design', 'laptop design_features', 'positive', 'love'], ['layout', 'laptop design_features', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard feels nice to use , the keys have a satisfying travel ."], "output": "[['keyboard', 'keyboard usability', 'positive', 'nice'], ['keys', 'keyboard usability', 'positive', 'satisfying']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["touchpad is nice and responsive ."], "output": "[['touchpad', 'laptop operation_performance', 'positive', 'nice'], ['touchpad', 'laptop operation_performance', 'positive', 'responsive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the included charger charges it very quickly though ."], "output": "[['included charger', 'power_supply operation_performance', 'positive', 'quickly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["definitely recommend this chromebook , it ' s a beautiful machine ."], "output": "[['chromebook', 'laptop general', 'positive', 'recommend'], ['machine', 'laptop design_features', 'positive', 'beautiful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but this asus c302ca has blown me away ."], "output": "[['asus c302ca', 'laptop general', 'positive', 'blown me away']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["portability is also great due to the fact it ' s slim and very light and the fact it ' s a convertible is added value ."], "output": "[['NULL', 'laptop general', 'positive', 'great'], ['NULL', 'laptop design_features', 'positive', 'slim'], ['NULL', 'laptop design_features', 'positive', 'light'], ['NULL', 'laptop portability', 'positive', 'convertible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s now been totally reliable for half a year or so ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'reliable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the build quality on this laptop is awesome for the price ."], "output": "[['build quality', 'laptop price', 'positive', 'awesome']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard is clicky , has decent amount of travel , and is backlit ."], "output": "[['keyboard', 'keyboard design_features', 'positive', 'clicky'], ['keyboard', 'keyboard design_features', 'positive', 'decent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the screen is very good all around , though it may get bright enough for comfortable outdoor use in direct sunlight ."], "output": "[['screen', 'display usability', 'positive', 'good'], ['screen', 'display usability', 'positive', 'comfortable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the processor is very snappy and will likely never be an issue for anything a normal chromebook user would need it for ."], "output": "[['processor', 'cpu operation_performance', 'positive', 'snappy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the screen wasn ' t as clear or bright as i hoped ."], "output": "[['screen', 'display design_features', 'negative', \"' t as clear or bright\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it starts up right away and has decent battery life that looks nice ."], "output": "[['starts up', 'os operation_performance', 'positive', 'NULL'], ['battery life', 'battery operation_performance', 'positive', 'decent'], ['battery life', 'battery operation_performance', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["when it has served me well , this asus chromebook flip c302ca is amazing ."], "output": "[['asus chromebook flip c302ca', 'laptop operation_performance', 'positive', 'well'], ['asus chromebook flip c302ca', 'laptop operation_performance', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["downloading android apps was easy after doing a standard os update , and really adds to the chrome experience ."], "output": "[['downloading android apps', 'software usability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["touchscreen is phenomenal and although awkward to hold when in full tablet mode , a neat feature to have ."], "output": "[['touchscreen', 'display general', 'positive', 'phenomenal'], ['touchscreen', 'display general', 'positive', 'neat'], ['tablet mode', 'laptop general', 'positive', 'awkward']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["speakers are nice and loud ."], "output": "[['speakers', 'multimedia_devices operation_performance', 'positive', 'nice'], ['speakers', 'multimedia_devices operation_performance', 'positive', 'loud']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i give it 4 stars because i believe that these devices are perfect for adults who just want to surf the internet or watch netflix ."], "output": "[['devices', 'laptop general', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["not having to switch to / from desktop version of websites is great ."], "output": "[['websites', 'software design_features', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall it has been a wonder experience and quality product ."], "output": "[['product', 'laptop quality', 'positive', 'wonder'], ['product', 'laptop quality', 'positive', 'quality']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the chromebook looks very nice and works very well ."], "output": "[['chromebook', 'laptop design_features', 'positive', 'nice'], ['chromebook', 'laptop operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i use it mostly when traveling it works well for that purpose ."], "output": "[['NULL', 'laptop portability', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i went with this one because keys are better and i like the laptop feel and look to it ."], "output": "[['keys', 'keyboard general', 'positive', 'better'], ['laptop', 'laptop general', 'positive', 'like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this laptop will be for school , netflix and youtube mostly ."], "output": "[['laptop', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i bought this for $ 389 on cyber monday 2017 ."], "output": "[['NULL', 'laptop price', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if you ' re on the fence i recommend this asus ."], "output": "[['asus', 'laptop general', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["there is plenty of room for positives , it looks sharp , runs great and is the perfect size for traveling and working on the go ."], "output": "[['NULL', 'laptop design_features', 'positive', 'sharp'], ['NULL', 'laptop operation_performance', 'positive', 'great'], ['traveling', 'laptop portability', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the negatives , the battery will need charging what feels like every 6ish hours depending on use and the speakers are insufficient ."], "output": "[['battery', 'battery operation_performance', 'negative', 'NULL'], ['speakers', 'multimedia_devices operation_performance', 'negative', 'insufficient']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i run around with it a lot , it doesn ' t just sit on a desk , and it ' s portability , ease of use , and flexibility in how i use it has been wonderful ."], "output": "[['NULL', 'laptop usability', 'positive', 'ease'], ['NULL', 'laptop usability', 'positive', 'wonderful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is the first laptop i ' ve had that i enjoy so much that i use it when i ' m not working too ."], "output": "[['laptop', 'laptop usability', 'positive', 'enjoy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["typing is responsive , the touchescreen is a joy and it ' s fast ."], "output": "[['typing', 'keyboard operation_performance', 'positive', 'responsive'], ['touchescreen', 'display general', 'positive', 'joy'], ['NULL', 'laptop operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is exactly what i needed ."], "output": "[['NULL', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard has excellent travel and just feels right ."], "output": "[['keyboard', 'keyboard operation_performance', 'positive', 'excellent'], ['keyboard', 'keyboard operation_performance', 'positive', 'right']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the support of the play store in beta is also a nice addition like icing on a cake ."], "output": "[['support of the play store', 'software design_features', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i highly recommend this product to any one whose needs are simple and mostly web based ."], "output": "[['product', 'laptop general', 'positive', 'recommend'], ['product', 'laptop general', 'positive', 'simple']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["screen is very close to retina display not exactly but close ."], "output": "[['screen', 'display design_features', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have been using this notebook for a month and i absolutely love it !"], "output": "[['notebook', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i use this for work , school , and to just watch videos or read books !"], "output": "[['NULL', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["android apps from google play also running well with latest chrome update ."], "output": "[['android apps', 'software operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["everything is very smooth and fast ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'smooth'], ['NULL', 'laptop operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m also using it to make apps so i installed ubuntu with android studio and intellij in it , the performance is still very acceptable and i ' m so satisfied i can carry it around as a tablet and i can sit down write code with it whenever i want , best of both worlds ."], "output": "[['NULL', 'laptop portability', 'positive', 'satisfied']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s fast , the display looks like a macbook pro , as does the aluminum case ."], "output": "[['display', 'display design_features', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["however , my unit had several issues ."], "output": "[['unit', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["when i put it into tablet mode , everything is great ."], "output": "[['tablet mode', 'laptop operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["however , when i switch back to laptop mode , the keyboard and trackpad are completely disabled and require a reboot to work again ."], "output": "[['keyboard', 'keyboard operation_performance', 'negative', 'disabled'], ['trackpad', 'hardware operation_performance', 'negative', 'disabled']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the volume and backlit - keyboard brightness controls also do not work properly ."], "output": "[['volume', 'multimedia_devices operation_performance', 'negative', 'NULL'], ['NULL', 'keyboard operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i did not expect to have to return this product for an exchange the same day i got it ."], "output": "[['product', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i love this laptop because of its size , speed , battery life , and backlit keyboard ."], "output": "[['laptop', 'laptop general', 'positive', 'love'], ['size', 'laptop design_features', 'positive', 'love'], ['speed', 'laptop operation_performance', 'positive', 'love'], ['battery life', 'battery general', 'positive', 'love'], ['backlit keyboard', 'keyboard general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it also has enough power to multi - task ."], "output": "[['NULL', 'laptop design_features', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard makes it easy to type notes quickly and write papers , and the backlit keyboard is a major plus ."], "output": "[['keyboard', 'keyboard usability', 'positive', 'easy'], ['keyboard', 'keyboard usability', 'positive', 'quickly'], ['backlit keyboard', 'keyboard design_features', 'positive', 'plus']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["even though i was upset at first for receiving a lemon , the performance of the working unit far outweighs any cons ."], "output": "[['NULL', 'laptop general', 'negative', 'upset'], ['working unit', 'laptop operation_performance', 'positive', 'outweighs']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have to say , this is a very nice product ."], "output": "[['product', 'laptop general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["well designed , nice fit and finish , and the build quality seems exceptional ."], "output": "[['NULL', 'laptop design_features', 'positive', 'well'], ['NULL', 'laptop design_features', 'positive', 'nice'], ['build quality', 'laptop quality', 'positive', 'exceptional']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but now , i ' m totally satisfied with this chromebook !"], "output": "[['chromebook', 'laptop general', 'positive', 'satisfied']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the look and feel of it are every bit as ` ` sleek ` ` as a mac , which my son and daughters have - - - - - - - but this is about 1 / 4 of the price ."], "output": "[['NULL', 'laptop price', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this asus worked right out of the box and was very responsive ."], "output": "[['asus', 'laptop operation_performance', 'positive', 'responsive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i am very impressed with this computer ."], "output": "[['computer', 'laptop general', 'positive', 'impressed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very fast , terrific screen , smooth operation ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'fast'], ['screen', 'display general', 'positive', 'terrific'], ['operation', 'laptop operation_performance', 'positive', 'smooth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the screen looks fantastic and movies look great ."], "output": "[['screen', 'display design_features', 'positive', 'fantastic'], ['screen', 'display design_features', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the back lit keyboard is one of the nicest keyboards i have ever typed on ."], "output": "[['back lit keyboard', 'keyboard general', 'positive', 'nicest'], ['keyboards', 'keyboard general', 'positive', 'nicest']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["most of my android apps have worked well ( i have had minor issues with a couple ) ."], "output": "[['android apps', 'software operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the computer itself looks great ."], "output": "[['computer', 'laptop design_features', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the only complaint i have is relatively minor in that the screen is a little small for my taste ."], "output": "[['screen', 'display design_features', 'negative', 'complaint'], ['screen', 'display design_features', 'negative', 'small']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my first chromebook , and so far ( about one month of use ) i like it ."], "output": "[['chromebook', 'laptop general', 'positive', 'like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["good size , responsive keyboard , great screen , easy to use ."], "output": "[['size', 'laptop design_features', 'positive', 'good'], ['keyboard', 'keyboard operation_performance', 'positive', 'responsive'], ['screen', 'display general', 'positive', 'great'], ['NULL', 'laptop usability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["track pad is a little spongy , but definitely not a showstopper ."], "output": "[['track pad', 'hardware operation_performance', 'negative', 'spongy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so far i really love this product !"], "output": "[['product', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the trackpad works well and the screen display is great too ."], "output": "[['trackpad', 'hardware operation_performance', 'positive', 'well'], ['screen display', 'display general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i love the screen quality and it is very fast for browsing ."], "output": "[['screen quality', 'display quality', 'positive', 'love'], ['NULL', 'laptop operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is so fast ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i did have to call asus customer service when i had a problem , and they were very helpful and solved my problem ."], "output": "[['asus customer service', 'support general', 'positive', 'helpful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["as a former google chrome ninja , i can tell you that this chromebook is the culmination of the intent and desire for this platform ."], "output": "[['chromebook', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i really can ' t say enough about this awesome laptop ."], "output": "[['laptop', 'laptop general', 'positive', 'awesome']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i think the sound could be better ."], "output": "[['sound', 'multimedia_devices operation_performance', 'neutral', 'could be better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i didn ' t want to spend much on this as it is my first laptop , but i was convinced by a few reviews to upgrade to this model as it has more ram and performs better in several areas ."], "output": "[['performs', 'laptop operation_performance', 'positive', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["an awesome product , well built - well worth your time and money ."], "output": "[['product', 'laptop general', 'positive', 'awesome'], ['product', 'laptop quality', 'positive', 'well built'], ['product', 'laptop quality', 'positive', 'well worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["backlit keyboard is great ; feels sturdy ; fast processing ."], "output": "[['backlit keyboard', 'keyboard general', 'positive', 'great'], ['NULL', 'laptop design_features', 'positive', 'sturdy'], ['NULL', 'cpu operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the keyboard is nice to type on ."], "output": "[['keyboard', 'keyboard operation_performance', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["judging from previous posts this used to be a good place , but not any longer ."], "output": "[['place', 'restaurant general', 'negative', 'not any longer']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we , there were four of us , arrived at noon - the place was empty - and the staff acted like we were imposing on them and they were very rude ."], "output": "[['staff', 'service general', 'negative', 'rude']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["they never brought us complimentary noodles , ignored repeated requests for sugar , and threw our dishes on the table ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food was lousy - too sweet or too salty and the portions tiny ."], "output": "[['food', 'food quality', 'negative', 'lousy'], ['food', 'food quality', 'negative', 'too sweet'], ['food', 'food quality', 'negative', 'too salty'], ['portions', 'food style_options', 'negative', 'tiny']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["after all that , they complained to me about the small tip ."], "output": "[['NULL', 'service general', 'negative', 'complained']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["avoid this place !"], "output": "[['place', 'restaurant general', 'negative', 'avoid']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have eaten at saul , many times , the food is always consistently , outrageously good ."], "output": "[['food', 'food quality', 'positive', 'outrageously good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["saul is the best restaurant on smith street and in brooklyn ."], "output": "[['saul', 'restaurant general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the duck confit is always amazing and the foie gras terrine with figs was out of this world ."], "output": "[['foie gras terrine with figs', 'food quality', 'positive', 'out of this world'], ['duck confit', 'food quality', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the wine list is interesting and has many good values ."], "output": "[['wine list', 'drinks style_options', 'positive', 'interesting'], ['wine list', 'drinks prices', 'positive', 'good values']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["for the price , you can not eat this well in manhattan ."], "output": "[['NULL', 'restaurant prices', 'positive', 'well'], ['NULL', 'food quality', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i was very disappointed with this restaurant ."], "output": "[['restaurant', 'restaurant general', 'negative', 'disappointed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["ive asked a cart attendant for a lotus leaf wrapped rice and she replied back rice and just walked away ."], "output": "[['cart attendant', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i had to ask her three times before she finally came back with the dish ive requested ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["food was okay , nothing great ."], "output": "[['food', 'food quality', 'neutral', 'okay'], ['food', 'food quality', 'neutral', 'nothing great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["chow fun was dry ; pork shu mai was more than usually greasy and had to share a table with loud and rude family ."], "output": "[['chow fun', 'food quality', 'negative', 'dry'], ['pork shu mai', 'food quality', 'negative', 'greasy'], ['NULL', 'ambience general', 'negative', 'loud'], ['NULL', 'ambience general', 'negative', 'rude']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i / we will never go back to this place again ."], "output": "[['place', 'restaurant general', 'negative', 'never go back']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["went on a 3 day oyster binge , with fish bringing up the closing , and i am so glad this was the place it o trip ended , because it was so great !"], "output": "[['fish', 'restaurant general', 'positive', 'great'], ['NULL', 'restaurant general', 'positive', 'glad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["service was devine , oysters where a sensual as they come , and the price ca n ' t be beat ! ! !"], "output": "[['service', 'service general', 'positive', 'devine'], ['oysters', 'food quality', 'positive', 'sensual'], ['NULL', 'restaurant prices', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["you ca n ' t go wrong here ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["every time in new york i make it a point to visit restaurant saul on smith street ."], "output": "[['restaurant saul', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["everything is always cooked to perfection , the service is excellent , the decor cool and understated ."], "output": "[['service', 'service general', 'positive', 'excellent'], ['decor', 'ambience general', 'positive', 'cool'], ['decor', 'ambience general', 'positive', 'understated'], ['NULL', 'food quality', 'positive', 'perfection']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i had the duck breast special on my last visit and it was incredible ."], "output": "[['duck breast special', 'food quality', 'positive', 'incredible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["and i hate to say this but i doubt i ' ll ever go back ."], "output": "[['NULL', 'restaurant general', 'negative', 'doubt']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food is very average . . . the thai fusion stuff is a bit too sweet , every thing they serve is too sweet here ."], "output": "[['food', 'food quality', 'negative', 'average'], ['thai fusion stuff', 'food quality', 'negative', 'too sweet'], ['NULL', 'food quality', 'negative', 'too sweet']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the only thing i moderately enjoyed was their grilled chicken special with edamame puree ."], "output": "[['grilled chicken special with edamame puree', 'food quality', 'positive', 'enjoyed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i had never had edamame pureed before but i thought it was innovative and tasty ( could ' ve used a bit more salt ) ."], "output": "[['edamame pureed', 'food quality', 'positive', 'tasty'], ['edamame pureed', 'food style_options', 'positive', 'innovative']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the decor is night tho . . . but they really need to clean that vent in the ceiling . . . its quite un - appetizing , and kills your effort to make this place look sleek and modern ."], "output": "[['place', 'ambience general', 'negative', 'sleek'], ['place', 'ambience general', 'negative', 'modern'], ['decor', 'ambience general', 'positive', 'night'], ['vent', 'ambience general', 'negative', 'un - appetizing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we went around 9 : 30 on a friday and it had died down a bit by then so the service was great !"], "output": "[['service', 'service general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the perfect spot ."], "output": "[['spot', 'restaurant general', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["food - awesome ."], "output": "[['food', 'food quality', 'neutral', 'awesome']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["service - friendly and attentive ."], "output": "[['service', 'service general', 'positive', 'friendly'], ['service', 'service general', 'positive', 'attentive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["ambiance - relaxed and stylish ."], "output": "[['ambiance', 'ambience general', 'positive', 'relaxed'], ['ambiance', 'ambience general', 'positive', 'stylish']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["do n ' t judge this place prima facie , you have to try it to believe it , a home away from home for the literate heart ."], "output": "[['place', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food is decent ."], "output": "[['food', 'food quality', 'neutral', 'decent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["however , it ' s the service that leaves a bad taste in my mouth ."], "output": "[['service', 'service general', 'negative', 'bad taste']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i happen to have a policy that goes along with a little bit of self - respect , which includes not letting a waiter intimidate me , i . e . make me feel bad asking for trivialities like water , or the check ."], "output": "[['waiter', 'service general', 'negative', 'bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i know , you were too busy showing off your vintage tee shirt and looking bored , but my agenda is i ' m here to eat and enjoy the company of friends , seeking a pleasant experience ."], "output": "[['NULL', 'service general', 'negative', 'NULL'], ['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["well , i did n ' t find it there , and trust , i have told everyone i can think of about my experience ."], "output": "[['NULL', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the last time i walked by it looked pretty empty . hmmm ."], "output": "[['NULL', 'restaurant miscellaneous', 'negative', 'empty']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i had a great experience ."], "output": "[['NULL', 'restaurant general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["food is great ."], "output": "[['food', 'food quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["service is top notch ."], "output": "[['service', 'service general', 'positive', 'top notch']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have been going back again and again ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it melted in my little mouth and the perfect consistency - not too fishy , creamy , and slightly buttery ."], "output": "[['NULL', 'food quality', 'positive', 'perfect consistency']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the sushi seemed pretty fresh and was adequately proportioned ."], "output": "[['sushi', 'food quality', 'positive', 'fresh'], ['sushi', 'food style_options', 'positive', 'proportioned']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the rice to fish ration was also good - - they did n ' t try to overpack the rice ."], "output": "[['rice to fish ration', 'food style_options', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we took advanatage of the half price sushi deal on saturday so it was well worth it ."], "output": "[['half price sushi deal', 'food quality', 'positive', 'worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["surprisingly nothing could be further from the truth ."], "output": "[['NULL', 'restaurant miscellaneous', 'positive', 'surprisingly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["in the evening , this place attracted a well dressed , with it , ny crowd ."], "output": "[['crowd', 'restaurant miscellaneous', 'positive', 'attracted']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food was well prepared and the service impecable ."], "output": "[['food', 'food quality', 'positive', 'well prepared'], ['service', 'service general', 'positive', 'impecable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m going back ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["quite simply it ' s like stepping out of manhattan and into a haven of tranquility ."], "output": "[['NULL', 'ambience general', 'positive', 'tranquility']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i will be going back and heartily recommend it !"], "output": "[['NULL', 'restaurant general', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is terrific , as is the value ."], "output": "[['NULL', 'food quality', 'positive', 'terrific'], ['NULL', 'food prices', 'positive', 'terrific']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["$ 6 and there is much tasty food , all of it fresh and continually refilled ."], "output": "[['food', 'food style_options', 'positive', 'refilled'], ['food', 'food quality', 'positive', 'tasty'], ['food', 'food quality', 'positive', 'fresh'], ['food', 'food prices', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i am not a vegetarian but , almost all the dishes were great ."], "output": "[['dishes', 'food quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["go hungry and enjoy ."], "output": "[['NULL', 'restaurant general', 'positive', 'enjoy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i like the somosas , chai , and the chole , but the dhosas and dhal were kinda disappointing ."], "output": "[['somosas', 'food quality', 'positive', 'like'], ['chai', 'food quality', 'positive', 'like'], ['chole', 'food quality', 'positive', 'like'], ['dhosas', 'food quality', 'negative', 'disappointing'], ['dhal', 'food quality', 'negative', 'disappointing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the service varys from day to day - sometimes they ' re very nice , and sometimes not ."], "output": "[['service', 'service general', 'negative', 'varys']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the kitchen however , is almost always slow ."], "output": "[['kitchen', 'service general', 'negative', 'slow']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if you ' ve ever been along the river in weehawken you have an idea of the top of view the chart house has to offer ."], "output": "[['view', 'location general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["add to that great service and great food at a reasonable price and you have yourself the beginning of a great evening ."], "output": "[['service', 'service general', 'positive', 'great'], ['food', 'food quality', 'positive', 'great'], ['food', 'food prices', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the lava cake dessert was incredible and i recommend it ."], "output": "[['lava cake dessert', 'food quality', 'positive', 'incredible'], ['lava cake dessert', 'food quality', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["once you step into cosette , you ' re miraculously in a small , off - the - beaten path parisian bistro ."], "output": "[['cosette', 'ambience general', 'positive', 'off - the - beaten']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this tiny restaurant is as cozy as it gets , with that certain parisian flair ."], "output": "[['restaurant', 'ambience general', 'positive', 'tiny'], ['restaurant', 'ambience general', 'positive', 'cozy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food was average to above - average ; the french onion soup filling yet not overly impressive , and the desserts not brilliant in any way ."], "output": "[['food', 'food quality', 'positive', 'average to above - average'], ['french onion soup', 'food quality', 'neutral', 'not overly impressive'], ['desserts', 'food quality', 'negative', 'not brilliant']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["however , go for the ambience , and consider the food just a companion for a trip across the world !"], "output": "[['ambience', 'ambience general', 'negative', 'NULL'], ['food', 'food quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the pizza was delivered cold and the cheese was n ' t even fully melted !"], "output": "[['pizza', 'food quality', 'negative', 'cold'], ['cheese', 'food quality', 'negative', \"was n ' t even fully melted\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it looked like shredded cheese partly done - still in strips ."], "output": "[['NULL', 'food quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this has got to be one of the most overrated restaurants in brooklyn ."], "output": "[['NULL', 'restaurant general', 'negative', 'overrated']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the pizza is overpriced and soggy ."], "output": "[['pizza', 'food quality', 'negative', 'soggy'], ['pizza', 'food prices', 'negative', 'overpriced']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["yes , they use fancy ingredients , but even fancy ingredients do n ' t make for good pizza unless someone knows how to get the crust right ."], "output": "[['ingredients', 'food quality', 'positive', 'fancy'], ['pizza', 'food quality', 'negative', 'good'], ['crust', 'food quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["a big disappointment , all around ."], "output": "[['NULL', 'restaurant general', 'negative', 'disappointment']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i think i ' ve had some the best meals of my life at minnow ."], "output": "[['meals', 'food quality', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the seafood is amazing , there ' s a good wine list , and the ever - changing menu always offers some great surprises ."], "output": "[['seafood', 'food quality', 'positive', 'amazing'], ['wine list', 'drinks style_options', 'positive', 'good'], ['menu', 'food style_options', 'positive', 'ever - changing'], ['menu', 'food style_options', 'positive', 'great surprises']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the combination of super - fresh ingredients in the dishes are unusual but really delicious ."], "output": "[['ingredients', 'food quality', 'positive', 'super - fresh'], ['ingredients', 'food quality', 'positive', 'unusual'], ['ingredients', 'food quality', 'positive', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["worth the trip from manhattan ."], "output": "[['NULL', 'restaurant general', 'positive', 'worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["best pastrami i ever had and great portion without being ridiculous ."], "output": "[['pastrami', 'food quality', 'positive', 'best'], ['portion', 'food style_options', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my wife had the fried shrimp which are huge and loved it ."], "output": "[['fried shrimp', 'food style_options', 'positive', 'huge'], ['fried shrimp', 'food quality', 'positive', 'loved']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["as a japanese native , i ' ve lived in the tristate area for over 8 years , but i was just so amazed at this place ."], "output": "[['place', 'restaurant general', 'positive', 'amazed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this place is the most japanese it can ever get ."], "output": "[['place', 'restaurant miscellaneous', 'positive', 'japanese']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the signs , the specials menus , food , and even all the waitstaff are all totally japanese ."], "output": "[['signs', 'restaurant miscellaneous', 'positive', 'japanese'], ['specials menus', 'food style_options', 'positive', 'japanese'], ['food', 'food quality', 'positive', 'japanese'], ['waitstaff', 'service general', 'positive', 'japanese']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this place is worth an one - hour drive ."], "output": "[['place', 'restaurant general', 'positive', 'worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i am so coming back here again , as much as i can ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["leon is an east village gem : casual but hip , with well prepared basic french bistro fare , good specials , a warm and lively atmosphere ."], "output": "[['leon', 'restaurant general', 'positive', 'casual'], ['leon', 'ambience general', 'positive', 'hip'], ['specials', 'food quality', 'positive', 'good'], ['atmosphere', 'ambience general', 'positive', 'warm'], ['atmosphere', 'ambience general', 'positive', 'lively'], ['french bistro fare', 'food quality', 'positive', 'well prepared']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my wife and i always enjoy the young , not always well trained but nevertheless friendly , staff , all of whom have a story ."], "output": "[['staff', 'service general', 'positive', 'enjoy'], ['staff', 'service general', 'positive', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["decent wine at reasonable prices ."], "output": "[['wine', 'drinks quality', 'neutral', 'decent'], ['wine', 'drinks prices', 'positive', 'reasonable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["our teenage kids love it , too ."], "output": "[['NULL', 'restaurant general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["everytime i decide to try another place on the ues , i get angry that i did n ' t just go to zucchero pomodori ."], "output": "[['zucchero pomodori', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is by far my favorite place in the neighborhood ."], "output": "[['place', 'restaurant general', 'positive', 'favorite']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the service is excellent , the decor is great , and the food is delicious and comes in large portions ."], "output": "[['service', 'service general', 'positive', 'excellent'], ['decor', 'ambience general', 'positive', 'great'], ['food', 'food quality', 'positive', 'delicious'], ['portions', 'food style_options', 'positive', 'large']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m partial to the gnocchi ."], "output": "[['gnocchi', 'restaurant general', 'positive', 'partial']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this place is incredibly tiny ."], "output": "[['place', 'ambience general', 'negative', 'tiny']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["they refuse to seat parties of 3 or more on weekends ."], "output": "[['NULL', 'service general', 'negative', 'refuse']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the hostess is rude to the point of being offensive ."], "output": "[['hostess', 'service general', 'negative', 'rude'], ['hostess', 'service general', 'negative', 'offensive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food was bland oily ."], "output": "[['food', 'food quality', 'negative', 'bland oily']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i just do n ' t understand all the hype . . ."], "output": "[['NULL', 'restaurant general', 'negative', 'hype']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we have been to this place many times , and always have great food , wine , and service ."], "output": "[['food', 'food quality', 'positive', 'great'], ['wine', 'drinks quality', 'positive', 'great'], ['service', 'service general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we were worried we would have trouble getting in , but somehow managed to have a short wait ."], "output": "[['wait', 'service general', 'positive', 'short']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["as always we had a great glass of wine while we waited ."], "output": "[['glass of wine', 'drinks quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["when we sat , we got great and fast service ."], "output": "[['service', 'service general', 'positive', 'great'], ['service', 'service general', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the people that work there are always so friendly you forget you are in new york sometimes ."], "output": "[['people', 'service general', 'positive', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is a fun restaurant to go to ."], "output": "[['restaurant', 'restaurant general', 'positive', 'fun']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the pizza is yummy and i like the atmoshpere ."], "output": "[['pizza', 'food quality', 'positive', 'yummy'], ['atmoshpere', 'ambience general', 'positive', 'like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but the pizza is way to expensive ."], "output": "[['pizza', 'food prices', 'negative', 'expensive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["a large is $ 20 , and toppings are about $ 3 each ."], "output": "[['NULL', 'food prices', 'negative', 'NULL'], ['toppings', 'food prices', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i went there for lunch and it was not as good as i expected from the reviews i read ."], "output": "[['lunch', 'food quality', 'negative', 'not as good as i expected']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["sauce was watery and the food did n ' t have much flavor ."], "output": "[['sauce', 'food quality', 'negative', 'watery'], ['food', 'food quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i do n ' t think i would go again ."], "output": "[['NULL', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this place is great ."], "output": "[['place', 'restaurant general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the waitress was very patient with us and the food is phenomenal !"], "output": "[['waitress', 'service general', 'positive', 'patient'], ['food', 'food quality', 'positive', 'phenomenal']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["service was prompt , friendly and great ."], "output": "[['service', 'service general', 'positive', 'prompt'], ['service', 'service general', 'positive', 'friendly'], ['service', 'service general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["slightly on the pricey side but worth it !"], "output": "[['NULL', 'restaurant prices', 'negative', 'pricey'], ['NULL', 'restaurant general', 'positive', 'worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great pizza and fantastic service ."], "output": "[['pizza', 'food quality', 'positive', 'great'], ['service', 'service general', 'positive', 'fantastic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["there was a small wait , but shorter than i expected ."], "output": "[['wait', 'service general', 'positive', 'small'], ['wait', 'service general', 'positive', 'shorter']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["located at the end of a magnificent block ."], "output": "[['NULL', 'location general', 'positive', 'magnificent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very cozy and warm inside . . . . ."], "output": "[['NULL', 'ambience general', 'positive', 'cozy'], ['NULL', 'ambience general', 'positive', 'warm']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i will be back !"], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is the best sushi in new york city - hands down ."], "output": "[['sushi', 'food quality', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the place is small and cramped but the food is fantastic ."], "output": "[['place', 'ambience general', 'negative', 'small'], ['place', 'ambience general', 'negative', 'cramped'], ['food', 'food quality', 'positive', 'fantastic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["planet thailand has always been a hit with me , i go there usually for the sushi , which is great , the thai food is excellent too ."], "output": "[['sushi', 'food quality', 'positive', 'great'], ['thai food', 'food quality', 'positive', 'excellent'], ['planet thailand', 'restaurant general', 'positive', 'hit']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["with the great variety on the menu , i eat here often and never get bored ."], "output": "[['menu', 'food style_options', 'positive', 'great variety']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the atmosphere is n ' t the greatest , but i suppose that ' s how they keep the prices down ."], "output": "[['atmosphere', 'ambience general', 'negative', \"is n ' t the greatest\"], ['NULL', 'restaurant prices', 'positive', 'down']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s all about the food ! !"], "output": "[['food', 'food quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["first it took us a long time to find the place ."], "output": "[['place', 'restaurant miscellaneous', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but when we looked at the menu , there were n ' t a lot of choices , most of them were dumplings in the appetizer section ."], "output": "[['menu', 'food style_options', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["those rolls were big , but not good and sashimi was n ' t fresh ."], "output": "[['rolls', 'food style_options', 'neutral', 'big'], ['rolls', 'food quality', 'negative', 'not good'], ['sashimi', 'food quality', 'negative', \"was n ' t fresh\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["they were dry and disgusting , i did n ' t even finish my first piece ."], "output": "[['NULL', 'food quality', 'negative', 'dry'], ['NULL', 'food quality', 'negative', 'disgusting']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["hurley ' s is like cheers where everyone knows your name and they are actually glad you came ."], "output": "[['NULL', 'service general', 'positive', 'glad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["try the crunchy tuna , it is to die for ."], "output": "[['crunchy tuna', 'food quality', 'positive', 'die for']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["try everything for that matter , it is all good ."], "output": "[['NULL', 'food quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have been going there since it opened and i ca n ' t get enough ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["first went here to enjoy their garden terrace ."], "output": "[['garden terrace', 'ambience general', 'positive', 'enjoy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food was amazing , and the service was prompt and helpful , but not over - bearing or rushed ."], "output": "[['food', 'food quality', 'positive', 'amazing'], ['service', 'service general', 'positive', 'prompt'], ['service', 'service general', 'positive', 'helpful'], ['service', 'service general', 'positive', 'not over -'], ['service', 'service general', 'positive', 'or']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the steak tartare is a great bet , they fix it for you at the table ."], "output": "[['steak tartare', 'food style_options', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["admittedly some nights inside the restaurant were rather warm , but the open kitchen is part of the charm ."], "output": "[['open kitchen', 'ambience general', 'positive', 'charm'], ['restaurant', 'ambience general', 'negative', 'warm']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great wine selection , gigondas is worth the price , and the house champagne is a great value ."], "output": "[['wine selection', 'drinks style_options', 'positive', 'great'], ['gigondas', 'drinks quality', 'positive', 'worth'], ['house champagne', 'drinks prices', 'positive', 'great value']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it may be a bit packed on weekends , but the vibe is good and it is the best french food you will find in the area ."], "output": "[['vibe', 'ambience general', 'positive', 'good'], ['french food', 'food quality', 'positive', 'best'], ['NULL', 'ambience general', 'neutral', 'packed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["have recommended the place to friends , always gets good response ."], "output": "[['place', 'restaurant miscellaneous', 'positive', 'recommended'], ['NULL', 'restaurant miscellaneous', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["pizza - the only pizza in nyc that should not have additional toppings - the crust tastes like the best , freshly baked bread !"], "output": "[['pizza', 'food quality', 'positive', 'NULL'], ['crust', 'food quality', 'positive', 'best'], ['crust', 'food quality', 'positive', 'freshly baked']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i take all my nyc guests to vt ' s ."], "output": "[[\"vt ' s\", 'restaurant miscellaneous', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["not sure where the previous reviewer , lonk , dined , but saul is in a great neighborhood and has great food !"], "output": "[['neighborhood', 'location general', 'positive', 'great'], ['food', 'food quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve been there three times and have always had wonderful experiences ."], "output": "[['NULL', 'restaurant general', 'positive', 'wonderful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' d highly recommend it for a special occasion - - it provides and intimate setting and nice service ."], "output": "[['setting', 'ambience general', 'positive', 'intimate'], ['service', 'service general', 'positive', 'nice'], ['NULL', 'restaurant miscellaneous', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m not sure where the other reviewers ate but it seems as if we visited two different restaurants because my friends and i all enjoy mizu very much . . . and we ' re repeat customers ."], "output": "[['mizu', 'restaurant general', 'positive', 'enjoy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["even after they overcharged me the last time i was there ."], "output": "[['NULL', 'service general', 'negative', 'overcharged']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s delicious !"], "output": "[['NULL', 'food quality', 'positive', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["moules were excellent , lobster ravioli was very salty !"], "output": "[['moules', 'food quality', 'positive', 'excellent'], ['lobster ravioli', 'food quality', 'negative', 'salty']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["took my mom for mother ' s day , and the maitre d ' was pretty rude ."], "output": "[[\"maitre d '\", 'service general', 'negative', 'rude']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["told us to sit anywhere , and when we sat he said the table was reserved ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["stepped on my foot on the second time he reached over me to adjust lighting ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["tiny dessert was $ 8 . 00 . . . just plain overpriced for what it is ."], "output": "[['dessert', 'food style_options', 'negative', 'tiny'], ['dessert', 'food quality', 'negative', 'NULL'], ['dessert', 'food prices', 'negative', 'overpriced']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the drinks are always well made and wine selection is fairly priced ."], "output": "[['drinks', 'drinks quality', 'positive', 'well made'], ['wine selection', 'drinks prices', 'positive', 'fairly priced']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["try their chef ' s specials - - they are to die for ."], "output": "[[\"chef ' s specials\", 'food quality', 'positive', 'die for']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["service is not exactly five star , but thats not really a big deal ."], "output": "[['service', 'service general', 'neutral', 'not exactly five star']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["downstairs lounge is always a good attraction"], "output": "[['downstairs lounge', 'ambience general', 'positive', 'good attraction']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the exotic food is beautifully presented and is a delight in delicious combinations ."], "output": "[['exotic food', 'food style_options', 'positive', 'beautifully presented'], ['exotic food', 'food quality', 'positive', 'delight']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is also extremely well priced ."], "output": "[['NULL', 'food prices', 'positive', 'extremely well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the staff is incredibly helpful and attentive ."], "output": "[['staff', 'service general', 'positive', 'helpful'], ['staff', 'service general', 'positive', 'attentive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the bar is very well stocked with interesting beers and well priced wines ."], "output": "[['bar', 'drinks style_options', 'positive', 'well stocked'], ['beers', 'drinks style_options', 'positive', 'interesting'], ['wines', 'drinks prices', 'positive', 'well priced']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is one of my favorite restaurants and it is not to be missed ."], "output": "[['NULL', 'restaurant general', 'positive', 'favorite']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["your friends will thank you for introducing them to this gem !"], "output": "[['NULL', 'restaurant general', 'positive', 'gem']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["when we stumbled on leon , we thought that we had found quite the gem but , we were certainly wrong ."], "output": "[['leon', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the waitress moved our table practically into the bathroom and when we asked to cancel our dinner orders because we did not want to eat sitting on the toilet , we were told no . . ."], "output": "[['waitress', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["then , to top things off , she dropped used silverware on my boyfriend ' s jacket and did not stop to apologize or clean the mess that was left on clothes ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["such a disappointment . . ."], "output": "[['NULL', 'service general', 'negative', 'disappointment']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["rude service , medicore food . . . there are tons of restaurants in ny . . . stay away from this one"], "output": "[['service', 'service general', 'negative', 'rude'], ['food', 'food quality', 'neutral', 'medicore'], ['NULL', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i loved everythig about it - especially the shows and actors ."], "output": "[['shows', 'ambience general', 'positive', 'loved'], ['actors', 'ambience general', 'positive', 'loved'], ['NULL', 'restaurant general', 'positive', 'loved']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["our server was very helpful and friendly ."], "output": "[['server', 'service general', 'positive', 'helpful'], ['server', 'service general', 'positive', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food was good too ."], "output": "[['food', 'food quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the tuna and wasabe potatoes are excellent ."], "output": "[['tuna', 'food quality', 'positive', 'excellent'], ['wasabe potatoes', 'food quality', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the outdoor atmosphere of sitting on the sidewalk watching the world go by 50 feet away on 6th avenue on a cool evening was wonderful ."], "output": "[['outdoor atmosphere', 'location general', 'positive', 'wonderful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["inside is a little cramped , but to be expected ."], "output": "[['NULL', 'ambience general', 'neutral', 'cramped']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["service was prompt and courteous ."], "output": "[['service', 'service general', 'positive', 'prompt'], ['service', 'service general', 'positive', 'courteous']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this was a repeat visit and we ' ll definitely be back again ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great service , great food ."], "output": "[['service', 'service general', 'positive', 'great'], ['food', 'food quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["prices are in line ."], "output": "[['NULL', 'restaurant prices', 'neutral', 'in line']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but too far east !"], "output": "[['NULL', 'location general', 'negative', 'far']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the pizza is delicious - they use fresh mozzarella instead of the cheap , frozen , shredded cheese common to most pizzaria ' s ."], "output": "[['pizza', 'food quality', 'positive', 'delicious'], ['mozzarella', 'food quality', 'positive', 'fresh']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["two complaints - - their appetizer selection stinks , it would be nice to get some mozzarella sticks on the menu ."], "output": "[['appetizer selection', 'food style_options', 'negative', 'stinks']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["also , because it is so thin , it gets cold very quickly and its not that filling ."], "output": "[['NULL', 'food quality', 'negative', 'cold'], ['NULL', 'food style_options', 'negative', 'thin']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["wait staff is blantently unappreciative of your business but its the best pie on the uws !"], "output": "[['wait staff', 'service general', 'negative', 'unappreciative'], ['pie', 'food quality', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["by far the best salad i have had in a fast food restaurant ."], "output": "[['salad', 'food quality', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["over 100 different choices to create your own ."], "output": "[['NULL', 'food style_options', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["a must try !"], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["on a recent sunday afternoon , a friend and i accidently found this great restaurant on our way to see the pulitzer prize winning play doubt ."], "output": "[['restaurant', 'restaurant general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this was the perfect quiet , relaxing , and delicious accompaniment to our afternoon of theater ."], "output": "[['NULL', 'food quality', 'positive', 'delicious'], ['NULL', 'ambience general', 'positive', 'quiet'], ['NULL', 'ambience general', 'positive', 'relaxing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the chicken pot pie is exceptional , the cheeseburger huge and delictable , and the service professional wan warm ."], "output": "[['chicken pot pie', 'food quality', 'positive', 'exceptional'], ['cheeseburger', 'food style_options', 'positive', 'huge'], ['cheeseburger', 'food quality', 'positive', 'delictable'], ['service', 'service general', 'positive', 'professional'], ['service', 'service general', 'positive', 'warm']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["with so many poor experiences to be had in the theater district , is truly an excellent find !"], "output": "[['NULL', 'restaurant general', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the staff is no nonsense ."], "output": "[['staff', 'service general', 'positive', 'no nonsense']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["when i lived upstate for a while i would buy freeze the bagels and they would still be better than any else ."], "output": "[['bagels', 'food quality', 'positive', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["worth visiting the 1st ave spot because it is the original store ."], "output": "[['1st ave spot', 'restaurant miscellaneous', 'positive', 'worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["he served me an uni hand roll , which i never had before , and let me tell you . . . it was heaven !"], "output": "[['uni hand roll', 'food quality', 'positive', 'heaven']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the sake menu should not be overlooked !"], "output": "[['sake menu', 'drinks style_options', 'positive', 'overlooked']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["all in all , this midtown gem instantly became one of my favorite sushi restaurants in the city ."], "output": "[['NULL', 'restaurant general', 'positive', 'gem'], ['NULL', 'restaurant general', 'positive', 'favorite']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["try the lobster teriyaki and the rose special roll ."], "output": "[['lobster teriyaki', 'food quality', 'positive', 'NULL'], ['rose special roll', 'food quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["service was very good - prompt , attentive and non - intrusive ."], "output": "[['service', 'service general', 'positive', 'good'], ['service', 'service general', 'positive', 'prompt'], ['service', 'service general', 'positive', 'attentive'], ['service', 'service general', 'positive', 'non - intrusive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["food was very good as well , considering that we tried the budget selection ( though i wish the pork belly that i ordered was roasted a bit longer , so that fat was more of a melt - in - your - mouth experience ) ."], "output": "[['food', 'food quality', 'positive', 'good'], ['pork belly', 'food quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["wine list selection is good and wine - by - the - glass was generously filled to the top ."], "output": "[['wine list selection', 'drinks style_options', 'positive', 'good'], ['wine - by - the - glass', 'drinks style_options', 'positive', 'generously filled']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["traditional french decour was pleasant though the hall was rather noisy - the restaurant was full and we had to raise our voices to be able to maintain a conversation ."], "output": "[['traditional french decour', 'ambience general', 'positive', 'pleasant'], ['hall', 'ambience general', 'negative', 'noisy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve been to at cafe spice probably 5 - 8 times , it is probably still the best indian restaurant around union square ."], "output": "[['cafe spice', 'restaurant general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["to sum it up : service varies from good to mediorce , depending on which waiter you get ; generally it is just average ok ."], "output": "[['service', 'service general', 'neutral', 'good'], ['service', 'service general', 'neutral', 'mediorce'], ['service', 'service general', 'neutral', 'average ok']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["seating is always prompt , though the restaurant does fill up in the evening ."], "output": "[['seating', 'service general', 'positive', 'prompt']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["food is usually very good , though ocasionally i wondered about freshmess of raw vegatables in side orders ."], "output": "[['food', 'food quality', 'positive', 'good'], ['raw vegatables in side orders', 'food quality', 'negative', 'wondered about freshmess']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["as many other reviewers noticed , your order is often slow to arrive - this is particularly true in the evening but is not a problem during lunch time ."], "output": "[['NULL', 'service general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the decor is vibrant and eye - pleasing with several semi - private boths on the right side of the dining hall , which are great for a date ."], "output": "[['decor', 'ambience general', 'positive', 'vibrant'], ['decor', 'ambience general', 'positive', 'eye - pleasing'], ['decor', 'ambience general', 'positive', 'great'], ['semi - private boths', 'ambience general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have never been disappointed in the red eye ."], "output": "[['red eye', 'restaurant general', 'positive', 'never been disappointed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the first time i went , and was completely taken by the live jazz band and atmosphere , i ordered the lobster cobb salad ."], "output": "[['live jazz band', 'ambience general', 'positive', 'taken'], ['atmosphere', 'ambience general', 'positive', 'taken']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s simply the best meal in nyc ."], "output": "[['meal', 'food quality', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["you can not go wrong at the red eye grill ."], "output": "[['red eye grill', 'restaurant general', 'positive', 'wrong']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if we were to move from the upper east side , we would genuinely miss this restaurant ."], "output": "[['restaurant', 'restaurant general', 'positive', 'miss']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the restaurant is cute but not upscale ."], "output": "[['restaurant', 'restaurant general', 'neutral', 'cute'], ['restaurant', 'restaurant general', 'neutral', 'not upscale']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food is a diamond in rough - - the food is delicious and homemade with the perfect balance of herbs and tomatoes ."], "output": "[['food', 'food quality', 'positive', 'diamond'], ['is', 'food quality', 'positive', 'and'], ['is', 'food quality', 'positive', 'with'], ['balance of herbs and tomatoes', 'food quality', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i would highly recommend it ."], "output": "[['NULL', 'restaurant general', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s one of our favorite places to eat in ny ."], "output": "[['NULL', 'restaurant general', 'positive', 'favorite']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we had a great time at the jekyll and hyde pub last night ."], "output": "[['jekyll and hyde pub', 'restaurant general', 'positive', 'great time']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["after really enjoying ourselves at the bar we sat down at a table and had dinner ."], "output": "[['bar', 'restaurant miscellaneous', 'positive', 'enjoying']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the server was really cool and served us our food and drinks with a smile ."], "output": "[['server', 'service general', 'positive', 'cool']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the place ' s decor and hidden bathrooms made for a good laugh ."], "output": "[['decor', 'ambience general', 'positive', 'good laugh'], ['hidden bathrooms', 'ambience general', 'positive', 'good laugh']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i highly recommend visiting this restaurant and having dinner and drinks !"], "output": "[['restaurant', 'restaurant general', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if you are the type of person who likes being scared and entertained , this is a great place to go and eat ."], "output": "[['place', 'restaurant miscellaneous', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the have over 100 different beers to offer thier guest so that made my husband very happy and the food was delicious , if i must recommend a dish it must be the pumkin tortelini ."], "output": "[['beers', 'drinks style_options', 'positive', 'happy'], ['food', 'food quality', 'positive', 'delicious'], ['pumkin tortelini', 'food quality', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the entertainment was great they have shows that go on through out the dinner ."], "output": "[['entertainment', 'ambience general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["you will not be disapointed at all ."], "output": "[['NULL', 'restaurant general', 'positive', 'not be disapointed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we were not dissappointed in the least bit by this little gem ."], "output": "[['NULL', 'restaurant general', 'positive', 'gem']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the bagel was huge ."], "output": "[['bagel', 'food style_options', 'positive', 'huge']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the workers there also absolutely load the bagel with cream cheese ( gets a little messy ) ."], "output": "[['bagel', 'food style_options', 'negative', 'messy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i loved it and would highly recommend ."], "output": "[['NULL', 'restaurant general', 'positive', 'loved'], ['NULL', 'restaurant general', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this was my frist time at cafe st . bart ' s and i must say how delicious the food and the service was ."], "output": "[['food', 'food quality', 'positive', 'delicious'], ['service', 'service general', 'positive', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have to highly recommend the lobster roll - not to much mayo ; you can tell it was a fresh lobster ."], "output": "[['lobster roll', 'food quality', 'positive', 'recommend'], ['lobster', 'food quality', 'positive', 'fresh']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["other guests enjoyed pizza , santa fe chopped salad and fish and chips ."], "output": "[['pizza', 'food quality', 'positive', 'enjoyed'], ['santa fe chopped salad', 'food quality', 'positive', 'enjoyed'], ['fish and chips', 'food quality', 'positive', 'enjoyed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i highly recommend cafe st . bart ' s for their food , the ambience and wonderful service ."], "output": "[['food', 'food quality', 'positive', 'recommend'], ['ambience', 'ambience general', 'positive', 'recommend'], ['service', 'service general', 'positive', 'wonderful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["all the staff is absolutely professional ! !"], "output": "[['staff', 'service general', 'positive', 'professional']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["( that is a must , but not every restaurant can do . . . )"], "output": "[['NULL', 'service general', 'positive', 'must']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["there ' s nice and quiet , small but enough for 6 ( or more ) ."], "output": "[['NULL', 'ambience general', 'positive', 'nice'], ['NULL', 'ambience general', 'positive', 'quiet']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this restaurant was way overhyped ."], "output": "[['restaurant', 'restaurant general', 'negative', 'overhyped']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my chow fun and chow see was really bland and oily ."], "output": "[['chow fun and chow see', 'food quality', 'negative', 'bland'], ['chow fun and chow see', 'food quality', 'negative', 'oily']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["okay - i do n ' t mind the oily part ( cause most are cooked that way ) but it was way too bland ."], "output": "[['NULL', 'food quality', 'negative', 'bland']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the scallion pancakes and fried dumplings were nothing out of the ordinary ."], "output": "[['scallion pancakes', 'food quality', 'neutral', 'ordinary'], ['fried dumplings', 'food quality', 'neutral', 'nothing out of the ordinary']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the service was the only thing good about this restaurant ."], "output": "[['service', 'service general', 'positive', 'good'], ['restaurant', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s boring on the inside , and our sushi was pretty below average . . . the tuna was soggy and the other rolls had no flavor ."], "output": "[['sushi', 'food quality', 'negative', 'below average'], ['tuna', 'food quality', 'negative', 'soggy'], ['rolls', 'food quality', 'negative', 'no flavor'], ['NULL', 'ambience general', 'negative', 'boring']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i definitely would n ' t go back ."], "output": "[['NULL', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["their pad penang is delicious and everything else is fantastic ."], "output": "[['pad penang', 'food quality', 'positive', 'delicious'], ['NULL', 'food quality', 'positive', 'fantastic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the price is reasonable although the service is poor ."], "output": "[['service', 'service general', 'negative', 'poor'], ['NULL', 'restaurant prices', 'positive', 'reasonable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great for a romantic evening , or a fun evening with friends . . ."], "output": "[['NULL', 'restaurant miscellaneous', 'positive', 'great'], ['NULL', 'ambience general', 'positive', 'romantic'], ['NULL', 'ambience general', 'positive', 'fun']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i will be going back very soon ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["keep up the good work ."], "output": "[['NULL', 'restaurant general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it was wonderful ."], "output": "[['NULL', 'restaurant general', 'positive', 'wonderful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the salads are delicious , both refreshing and very spicy ."], "output": "[['salads', 'food quality', 'positive', 'delicious'], ['salads', 'food quality', 'positive', 'refreshing'], ['salads', 'food quality', 'positive', 'spicy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we had pam ' s special fried fish and it was amazing ."], "output": "[[\"pam ' s special fried fish\", 'food quality', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["too large for just two people but nothing was left ."], "output": "[['NULL', 'food style_options', 'negative', 'too large'], ['NULL', 'food quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great vibe , lots of people ."], "output": "[['vibe', 'ambience general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my husbands was perfect , my was well done and dry ."], "output": "[['NULL', 'food quality', 'positive', 'perfect'], ['NULL', 'food quality', 'positive', 'well done'], ['NULL', 'food quality', 'negative', 'dry']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i did n ' t complain , i liked the atmosphere so much ."], "output": "[['atmosphere', 'ambience general', 'positive', 'liked']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["on a hot day it was fabulous to stop in and enjoy lunch ."], "output": "[['NULL', 'restaurant general', 'positive', 'fabulous']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["ambience is so cute and quaint , good for business although we were there on vacation ."], "output": "[['ambience', 'ambience general', 'positive', 'cute'], ['ambience', 'ambience general', 'positive', 'quaint'], ['NULL', 'restaurant miscellaneous', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["salads were fantastic ."], "output": "[['salads', 'food quality', 'positive', 'fantastic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["although we were looking for regular lettuce and some walnuts the salads we got were great ."], "output": "[['salads', 'food quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["ingredients are organic which is a real plus for me ."], "output": "[['ingredients', 'food quality', 'positive', 'organic'], ['ingredients', 'food quality', 'positive', 'plus']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we will be back ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the spicy tuna roll is huge and probably the best that i ' ve had at this price range ."], "output": "[['spicy tuna roll', 'food style_options', 'positive', 'huge'], ['spicy tuna roll', 'food quality', 'positive', 'best'], ['spicy tuna roll', 'food prices', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the yellowtail was particularly good as well ."], "output": "[['yellowtail', 'food quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have reservations about the all you can eat deal , however - - the choices are fairly limited and you can probably order more food than you can eat for less than $ 18 by just going off the menu ."], "output": "[['all you can eat deal', 'food style_options', 'negative', 'limited'], ['all you can eat deal', 'food prices', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["in any event , this is a place i ' ll be sure to stop by again when i ' m in this part of town ."], "output": "[['place', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["big wong gets big ups for a fine establishment ."], "output": "[['big wong', 'restaurant general', 'positive', 'big ups'], ['big wong', 'restaurant general', 'positive', 'fine']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["they have it all - - great price , food , and service ."], "output": "[['food', 'food quality', 'positive', 'great'], ['service', 'service general', 'positive', 'great'], ['NULL', 'restaurant general', 'positive', 'great'], ['NULL', 'restaurant prices', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the atmosphere is noisy and the waiters are literally walking around doing things as fast as they can ."], "output": "[['atmosphere', 'ambience general', 'negative', 'noisy'], ['waiters', 'service general', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food is prepared quickly and efficiently ."], "output": "[['NULL', 'service general', 'positive', 'quickly'], ['NULL', 'service general', 'positive', 'efficiently']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["and it all comes at a very reasonable price ( congee , noodles , and rice dishes are no more than $ 3 - 6 each ) ."], "output": "[['NULL', 'food prices', 'positive', 'reasonable'], ['congee', 'food prices', 'positive', 'reasonable'], ['noodles', 'food prices', 'positive', 'reasonable'], ['rice dishes', 'food prices', 'positive', 'reasonable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the takeout is great too since they give high quality tupperware as well ."], "output": "[['takeout', 'service general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["enjoyed a very nice caesar salad while my wife had arugula and goat cheese . . . . both very tasty ."], "output": "[['caesar salad', 'food quality', 'positive', 'enjoyed'], ['caesar salad', 'food quality', 'positive', 'nice'], ['arugula and goat cheese', 'food quality', 'positive', 'tasty']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we both opted for a pasta dish and they were served timely and fresh ."], "output": "[['pasta dish', 'food quality', 'positive', 'fresh'], ['NULL', 'service general', 'positive', 'served timely']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we concluded with tiramisu chocolate cake , both were delicious ."], "output": "[['tiramisu chocolate cake', 'food quality', 'positive', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we ' d go back again"], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i recently went to this restaurant with some co - workers for lunch and had an amazing time ."], "output": "[['restaurant', 'restaurant general', 'positive', 'amazing time']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the staff was accomodating , the food was absolutely delicious and the place is lovely ."], "output": "[['staff', 'service general', 'positive', 'accomodating'], ['food', 'food quality', 'positive', 'delicious'], ['place', 'ambience general', 'positive', 'lovely']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we even had a visit from the manager who wanted to make sure we were enjoying ourselves ."], "output": "[['manager', 'service general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["yes , the prices are high , but i felt it was worth it ."], "output": "[['NULL', 'restaurant prices', 'negative', 'high'], ['NULL', 'restaurant general', 'positive', 'worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we all felt it was worth it ."], "output": "[['NULL', 'restaurant general', 'positive', 'worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["sometimes i get good food and ok service ."], "output": "[['food', 'food quality', 'positive', 'good'], ['service', 'service general', 'neutral', 'ok']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["sometimes i get bad food and bad service , sometimes i get good good and bad service ."], "output": "[['food', 'food quality', 'negative', 'bad'], ['service', 'service general', 'negative', 'bad'], ['good', 'food quality', 'positive', 'good'], ['service', 'service general', 'negative', 'bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is not consistent ."], "output": "[['NULL', 'restaurant general', 'negative', 'not consistent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the place is a bistro which means : simple dishes and wine served efficiently in a bustling atmosphere ."], "output": "[['dishes', 'food style_options', 'positive', 'simple'], ['atmosphere', 'ambience general', 'positive', 'bustling'], ['NULL', 'service general', 'positive', 'efficiently']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["and where does patis go wrong ; no where ."], "output": "[['patis', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["you are not eating haut cuisine with subtle hints of whatever but : cassuolet , steake fritte , tripe stew , etc ; simple stuff ."], "output": "[['NULL', 'food style_options', 'positive', 'NULL'], ['NULL', 'food quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["right off the l in brooklyn this is a nice cozy place with good pizza ."], "output": "[['pizza', 'food quality', 'positive', 'good'], ['place', 'ambience general', 'positive', 'nice'], ['place', 'ambience general', 'positive', 'cozy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["mine was a little burnt but still delicious with goat cheese and panchetta ( raddichio was kind of bitter though ) ."], "output": "[['raddichio', 'food quality', 'negative', 'bitter'], ['NULL', 'food quality', 'positive', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my friend got the mushroom pizza which tasted better ."], "output": "[['mushroom pizza', 'food quality', 'positive', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the sangria was pretty tasty and good on a hot muggy day ."], "output": "[['sangria', 'drinks quality', 'positive', 'tasty'], ['sangria', 'drinks quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["kind of a small place but i guess if they are not too busy might be able to fit a group or kids ."], "output": "[['place', 'restaurant miscellaneous', 'neutral', 'small']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall i would recommend it and go back again ."], "output": "[['NULL', 'restaurant general', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i started out with a bombay beer which was big enough for two ."], "output": "[['bombay beer', 'drinks style_options', 'positive', 'big']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["mmmmm . . . it was delicious ."], "output": "[['NULL', 'food quality', 'positive', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["service was slow , but the people were friendly ."], "output": "[['service', 'service general', 'negative', 'slow'], ['people', 'service general', 'positive', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s a nice place to relax and have conversation ."], "output": "[['place', 'ambience general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ca n ' t wait to go back ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food is authentic italian - delicious !"], "output": "[['food', 'food quality', 'positive', 'authentic'], ['food', 'food quality', 'positive', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["pizza is terrific , as is homemade pasta ."], "output": "[['pizza', 'food quality', 'positive', 'terrific'], ['homemade', 'food quality', 'positive', 'terrific']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["ambience is delightful , service impeccable ."], "output": "[['ambience', 'ambience general', 'positive', 'delightful'], ['service', 'service general', 'positive', 'impeccable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["service was also horrible and the ambience is not that great ."], "output": "[['service', 'service general', 'negative', 'horrible'], ['ambience', 'ambience general', 'negative', 'not that great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["do not try unless you ' re just going there to hang out like the rest of the hipsters who apparently have no sense of taste ."], "output": "[['NULL', 'restaurant miscellaneous', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i go and eat out at many different restaurants and this is one place you have go and try ."], "output": "[['place', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is my first time writing a review for a restaurant because the food and service was excellent ."], "output": "[['food', 'food quality', 'positive', 'excellent'], ['service', 'service general', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the filet mignon dish was superb !"], "output": "[['filet mignon dish', 'food quality', 'positive', 'superb']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i would defiantly come back here again as one of my top choices ."], "output": "[['NULL', 'restaurant general', 'positive', 'top choices']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s a small cute restaurant ."], "output": "[['restaurant', 'restaurant general', 'positive', 'small'], ['restaurant', 'restaurant general', 'positive', 'cute']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i absolutely love this place ! ! !"], "output": "[['place', 'restaurant general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i like the ambience , it ' s very dark and original ."], "output": "[['ambience', 'ambience general', 'positive', 'like'], ['ambience', 'ambience general', 'positive', 'dark'], ['ambience', 'ambience general', 'positive', 'original']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the sushi is amazing ! ! !"], "output": "[['sushi', 'food quality', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["and amazingly cheap ."], "output": "[['NULL', 'food prices', 'positive', 'amazingly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very affordable and excellent ambient !"], "output": "[['ambient', 'ambience general', 'positive', 'excellent'], ['NULL', 'restaurant prices', 'positive', 'affordable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we ordered some beef and noodle soup dishes from the thai section of the menu but nothing we got was thai ."], "output": "[['beef and noodle soup dishes', 'food quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we were very disappointed ."], "output": "[['NULL', 'food quality', 'negative', 'disappointed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we wo n ' t go to this place again for a good meal ."], "output": "[['meal', 'food quality', 'negative', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["however , i think this place is a good hang out spot ."], "output": "[['place', 'ambience general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my girlfriend and i stumbled onto this hopping place the other night and had a great time !"], "output": "[['place', 'restaurant general', 'positive', 'great time']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["they tell me they are going to cover the garden in glass for the winter , so i ' m looking forward to going there on a snowy night to enjoy it ."], "output": "[['NULL', 'restaurant miscellaneous', 'positive', 'enjoy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["check this place out !"], "output": "[['place', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["highly recommended ! ! ! ! !"], "output": "[['NULL', 'restaurant general', 'positive', 'recommended']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["first of all , this place is * not * romantic , as claimed by citysearch ' s editorial review ."], "output": "[['place', 'ambience general', 'negative', '* not * romantic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["either that , or the editor ' s idea of romance must be sharing a conversation with the next table , while trying to speak louder than the traffic on 57th ."], "output": "[['NULL', 'ambience general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the tables are crammed way too close , the menu is typical of any italian restaurant , and the wine list is simply overpriced ."], "output": "[['tables', 'ambience general', 'negative', 'crammed'], ['tables', 'ambience general', 'negative', 'close'], ['menu', 'food style_options', 'neutral', 'typical'], ['wine list', 'drinks prices', 'negative', 'overpriced']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["slightly above average wines start at $ 70 + with only one selection listed at $ 30 + ."], "output": "[['wines', 'drinks quality', 'negative', 'above average'], ['wines', 'drinks prices', 'negative', 'above average']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["service is not what one would expect from a joint in this price category ."], "output": "[['service', 'service general', 'negative', 'not what one would expect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["for instance , plates were just dumped on the table , i was handed the wine list upside down , etc . . . ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["somehow working the italian charm with constant mille grazie does not constitute proper service ."], "output": "[['service', 'service general', 'negative', 'not constitute proper']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["to be completely fair , the only redeeming factor was the food , which was above average , but could n ' t make up for all the other deficiencies of teodora ."], "output": "[['food', 'food quality', 'positive', 'above average'], ['teodora', 'restaurant general', 'negative', 'deficiencies']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["not one of our meals was edible - bland and / or made with weird rosemary or orange flavoring ."], "output": "[['meals', 'food quality', 'negative', 'edible'], ['rosemary or orange flavoring', 'food quality', 'negative', 'weird']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["fish was overdone ."], "output": "[['fish', 'food quality', 'negative', 'overdone']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["cute place , nice wait staff but would never go there again ."], "output": "[['wait staff', 'service general', 'positive', 'nice'], ['place', 'ambience general', 'positive', 'cute'], ['place', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["someone else recommended the dessert - we also left that ."], "output": "[['dessert', 'food quality', 'negative', 'recommended']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["one of us actually liked the expresso - that ' s it ."], "output": "[['expresso', 'drinks quality', 'positive', 'liked']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["skip this restaurant , it ' s a big disappointment ."], "output": "[['restaurant', 'restaurant general', 'negative', 'skip'], ['restaurant', 'restaurant general', 'negative', 'disappointment']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["myagi is one of my favorite restaurants in the city ; the place the negative reviews describe sound like they were somewhere else ."], "output": "[['myagi', 'restaurant general', 'positive', 'favorite']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve never had bad service and the fish is fresh and delicious ."], "output": "[['service', 'service general', 'positive', 'never had bad'], ['fish', 'food quality', 'positive', 'fresh'], ['fish', 'food quality', 'positive', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["their tuna tartar appetizer is to die for ."], "output": "[['tuna tartar appetizer', 'food quality', 'positive', 'die for']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i come from a family of pizzeria owners , and i ' m almost ashamed to say that the pizza in fornino ' s blows my families receipies away ."], "output": "[['pizza', 'food quality', 'positive', 'ashamed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the place is so cool and the service is prompt and curtious ."], "output": "[['service', 'service general', 'positive', 'prompt'], ['service', 'service general', 'positive', 'curtious'], ['place', 'ambience general', 'positive', 'cool']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i highly recommend to anyone to give this place a try ."], "output": "[['place', 'restaurant general', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["you will find yourself returning quite often ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["a restaurant that does n ' t try to do anything except serve great food with great service in a pleasant atmosphere ."], "output": "[['food', 'food quality', 'positive', 'great'], ['service', 'service general', 'positive', 'great'], ['atmosphere', 'ambience general', 'positive', 'pleasant']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["no gimmicks here - - the food speaks for itself in its freshness and preparation ."], "output": "[['food', 'food quality', 'positive', 'freshness'], ['food', 'food quality', 'positive', 'preparation']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the dining room is quietly elegant with no music to shout over - - how refreshing !"], "output": "[['dining room', 'ambience general', 'positive', 'elegant'], ['dining room', 'ambience general', 'positive', 'refreshing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the service was impeccable and unobtrusive - - the staff knows what they are there to do - - to know their menu , present your meal , and attend to your needs ."], "output": "[['service', 'service general', 'positive', 'impeccable'], ['service', 'service general', 'positive', 'unobtrusive'], ['staff', 'service general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["looking around , i saw a room full of new yorkers enjoying a real meal in a real restaurant , not a clubhouse of the fabulous trying to be seen ."], "output": "[['meal', 'food quality', 'positive', 'real'], ['restaurant', 'ambience general', 'positive', 'real']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the view is breathtaking the service is top notch . . . the ambiance is wonderful ."], "output": "[['view', 'location general', 'positive', 'breathtaking'], ['service', 'service general', 'positive', 'top notch'], ['ambiance', 'ambience general', 'positive', 'wonderful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the staff offers impeccable service ."], "output": "[['staff', 'service general', 'positive', 'impeccable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i had lobster bisque it has 2 oz . of maine lobster in it ."], "output": "[['lobster bisque', 'food quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my boyfriend had the new england chowder it was good but i think the award should go to the lobster bisque ."], "output": "[['new england chowder', 'food quality', 'positive', 'good'], ['lobster bisque', 'food quality', 'positive', 'award']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it was divine melts in your mouth ."], "output": "[['NULL', 'food quality', 'positive', 'divine']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my boyfriend had prime rib it was good ."], "output": "[['prime rib', 'food quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we did n ' t want a bottle of bubbly on a weekday so we each got little bottles of korbett it was just enough ."], "output": "[['bottles of korbett', 'drinks style_options', 'positive', 'enough']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s cuz it ' s so good you need to taste it ! ! !"], "output": "[['NULL', 'food quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["all in all we ' re already coming up with excuses to go ahead really soon in the next few wks ! ! ! !"], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my wife and i ate here earlier this week and have not stopped ranting and raving about the food ."], "output": "[['food', 'food quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if you like spicy food get the chicken vindaloo ."], "output": "[['chicken vindaloo', 'food quality', 'positive', 'like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s very spicy but not offensive ."], "output": "[['NULL', 'food quality', 'positive', 'not offensive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we will definitely go back ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["go to volare for 1st class service and terrific food ."], "output": "[['service', 'service general', 'positive', '1st class'], ['food', 'food quality', 'positive', 'terrific']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the portions are large and the servers always surprise us with a different starter ."], "output": "[['portions', 'food style_options', 'positive', 'large']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the wine list is excellent ."], "output": "[['wine list', 'drinks style_options', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food is amazing . . . especially if you get the chef ' s tasting menu and your favourite bottle ( or two ! ) of wine from an extensive selection of wines ."], "output": "[['food', 'food quality', 'positive', 'amazing'], [\"chef ' s tasting menu\", 'food quality', 'positive', 'NULL'], ['selection of wines', 'drinks style_options', 'positive', 'extensive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the place is small and intimate and you may feel a little crowded , but the service is excellent and it ' s great for friends out , a romantic date , or a special occassion ."], "output": "[['service', 'service general', 'positive', 'excellent'], ['place', 'ambience general', 'negative', 'small'], ['place', 'restaurant miscellaneous', 'positive', 'intimate'], ['place', 'ambience general', 'negative', 'crowded']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food can get pricey but the prixe fixe tasting menu is the greatest food for a good price and they cater the food to any food allergies or food you do n ' t like ."], "output": "[['food', 'food prices', 'negative', 'pricey'], ['prixe fixe tasting menu', 'food quality', 'positive', 'greatest'], ['prixe fixe tasting menu', 'food prices', 'positive', 'good'], ['NULL', 'service general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["please be aware that it ' s cash or amex only !"], "output": "[['NULL', 'restaurant miscellaneous', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["with the exception of our lemon salad that had so much pepper on it that our eyes started watering , the food here was decent , not great ."], "output": "[['food', 'food quality', 'neutral', 'decent'], ['food', 'food quality', 'neutral', 'not great'], ['lemon salad', 'food quality', 'negative', 'exception']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we ordered the special , grilled branzino , that was so infused with bone , it was difficult to eat ."], "output": "[['grilled branzino', 'food quality', 'negative', 'difficult to eat']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the decor in this place is very diner - ish and the kind of place you expect in the east village - not romantic , just simple , small and sparse ."], "output": "[['decor', 'ambience general', 'neutral', 'diner - ish']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["problem is nothing at prune is particularly memorable ."], "output": "[['prune', 'restaurant general', 'negative', 'memorable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["no plans to return anytime soon ."], "output": "[['NULL', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this place is so much fun ."], "output": "[['place', 'ambience general', 'positive', 'fun']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["our family never expected such incredible entertainment in a restaurant ."], "output": "[['entertainment', 'ambience general', 'positive', 'incredible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["our food was great too !"], "output": "[['food', 'food quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["and really large portions ."], "output": "[['portions', 'food style_options', 'positive', 'large']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the staff was the friendliest that have seen in new york ."], "output": "[['staff', 'service general', 'positive', 'friendliest']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if you want something really different than try jekyll and hyde ."], "output": "[['jekyll and hyde', 'restaurant general', 'positive', 'different']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is a lot of fun with live entertainment and all kinds of disney type special effects ."], "output": "[['NULL', 'ambience general', 'positive', 'fun']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food was pretty tradional but it was hot and good with large portions ."], "output": "[['food', 'food quality', 'positive', 'tradional'], ['food', 'food quality', 'positive', 'hot'], ['portions', 'food style_options', 'positive', 'large']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i highly recommend it ."], "output": "[['NULL', 'restaurant general', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the place is a lot of fun ."], "output": "[['place', 'ambience general', 'positive', 'fun']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my six year old loved it ."], "output": "[['NULL', 'restaurant general', 'positive', 'loved']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food however , is what one might expect ."], "output": "[['food', 'food quality', 'negative', 'expect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is very overpriced and not very tasty ."], "output": "[['NULL', 'food quality', 'negative', 'not very tasty'], ['NULL', 'food prices', 'negative', 'overpriced']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["went there with my wife and we had to wait for a table even though you could see there many that were empty with not reservation sigh on them ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["service was slow had to wait to order and get food although not crowded ."], "output": "[['service', 'service general', 'negative', 'slow']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["drinks way over priced ."], "output": "[['drinks', 'drinks prices', 'negative', 'over priced']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["food was good not great not worth the wait or another visit"], "output": "[['food', 'food quality', 'neutral', 'good not great'], ['NULL', 'restaurant general', 'negative', 'not worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great pizza for lunch place ."], "output": "[['pizza', 'food quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["service was quick ."], "output": "[['service', 'service general', 'positive', 'quick']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the pizza was great ."], "output": "[['pizza', 'food quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["and it was quick which is very important ."], "output": "[['NULL', 'service general', 'positive', 'quick'], ['NULL', 'service general', 'positive', 'important']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["have the iced tea ."], "output": "[['iced tea', 'food quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["whenever you need a sushi fix , mizu will be there with quality fish and great service ."], "output": "[['fish', 'food quality', 'positive', 'quality'], ['service', 'service general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["delivery is fast too ."], "output": "[['delivery', 'service general', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great friendly service , fast seating , fast delivery , excellent sushi ."], "output": "[['service', 'service general', 'positive', 'great'], ['service', 'service general', 'positive', 'friendly'], ['seating', 'service general', 'positive', 'fast'], ['delivery', 'service general', 'positive', 'fast'], ['sushi', 'food quality', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["ess - a - bagel ( either by sty - town or midtown ) is by far the best bagel in ny ."], "output": "[['bagel', 'food quality', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the bagels always warm , soft on the inside , crispy on the outside and enormous in size ."], "output": "[['bagels', 'food quality', 'positive', 'warm'], ['bagels', 'food quality', 'positive', 'soft'], ['bagels', 'food quality', 'positive', 'crispy'], ['bagels', 'food style_options', 'positive', 'enormous']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["they have a huge selection of different cream cheeses and all of their salads are great ."], "output": "[['salads', 'food quality', 'positive', 'great'], ['cream cheeses', 'food style_options', 'positive', 'huge'], ['cream cheeses', 'food style_options', 'positive', 'different']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the lox is always fresh too ."], "output": "[['lox', 'food quality', 'positive', 'fresh']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["highly recommended to all !"], "output": "[['NULL', 'restaurant general', 'positive', 'recommended']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["not impressed with the food ."], "output": "[['food', 'food quality', 'negative', 'not impressed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["prices too high for this cramped and unappealing resturant ."], "output": "[['resturant', 'restaurant prices', 'negative', 'high'], ['resturant', 'ambience general', 'negative', 'cramped'], ['resturant', 'ambience general', 'negative', 'unappealing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["zero ambiance to boot ."], "output": "[['ambiance', 'ambience general', 'negative', 'zero']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i thought this place was totally overrated ."], "output": "[['place', 'restaurant general', 'negative', 'overrated']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["everything we had was good or ok . . . . but definitely nothing great ."], "output": "[['NULL', 'food quality', 'neutral', 'nothing great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the ambience was nice , but service was n ' t so great ."], "output": "[['ambience', 'ambience general', 'positive', 'nice'], ['service', 'service general', 'negative', \"was n ' t so great\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["when you add it all together , it just does n ' t seem worth it to me . . . especially considering the prices ."], "output": "[['NULL', 'restaurant general', 'negative', \"does n ' t seem worth\"], ['NULL', 'restaurant prices', 'negative', \"does n ' t seem worth\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is the best shabu - shabu restaurant in the try - state area ."], "output": "[['shabu - shabu restaurant', 'restaurant general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["thius is a must for anyone who loves shabu - shabu ."], "output": "[['shabu - shabu', 'food quality', 'positive', 'loves']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the atmosphere is nothing special , but it feels like a sushi establishment in tokyo ."], "output": "[['atmosphere', 'ambience general', 'positive', 'nothing special']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the owner and staff are all japanese as well and that adds to the entire ambiance ."], "output": "[['owner', 'restaurant miscellaneous', 'positive', 'NULL'], ['staff', 'restaurant miscellaneous', 'positive', 'NULL'], ['ambiance', 'ambience general', 'positive', 'adds']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["despite a slightly limited menu , everything prepared is done to perfection , ultra fresh and a work of food art ."], "output": "[['menu', 'food style_options', 'negative', 'limited'], ['NULL', 'food quality', 'positive', 'fresh'], ['NULL', 'food style_options', 'positive', 'done to perfection']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i must give it yon out of yon stars !"], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["taxan delicious !"], "output": "[['taxan', 'food quality', 'positive', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this restaurant was recommended by a local . . . as a matter of fact , he made the reservation for us and said we would not be disappointed !"], "output": "[['NULL', 'restaurant general', 'positive', 'recommended']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we were n ' t !"], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the prices were cheap compared to the quality of service and food ."], "output": "[['service', 'service general', 'positive', 'NULL'], ['food', 'food quality', 'positive', 'NULL'], ['NULL', 'restaurant prices', 'positive', 'cheap']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we liked it so much , that we will always make it a point to dine here when we visit new york ."], "output": "[['NULL', 'restaurant general', 'positive', 'liked']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the location and ambience is ok but the food is what makes up for it ."], "output": "[['location', 'location general', 'neutral', 'ok'], ['ambience', 'ambience general', 'neutral', 'ok'], ['food', 'food quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["there is a lot of variety even for people who eat vegetarian like me ."], "output": "[['NULL', 'food style_options', 'positive', 'a lot of variety']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["try green curry with vegetables ."], "output": "[['green curry with vegetables', 'food quality', 'positive', 'try']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the quantity is also very good , you will come out satisfied ."], "output": "[['quantity', 'food style_options', 'positive', 'good'], ['quantity', 'food style_options', 'positive', 'satisfied']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the service is ok , some of the people did n ' t get what they asked for ."], "output": "[['service', 'service general', 'neutral', 'ok']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i was there on sat . for my birthday and we had an excellent time ."], "output": "[['NULL', 'restaurant general', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i had the best ravioli ever ."], "output": "[['ravioli', 'food quality', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the wine the service was very good too ."], "output": "[['wine', 'drinks quality', 'positive', 'good'], ['service', 'service general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["moderate prices ."], "output": "[['NULL', 'restaurant prices', 'neutral', 'moderate']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["a little noise but i think that was because of our party !"], "output": "[['NULL', 'ambience general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this quaint and romantic trattoria is at the top of my manhattan restaurant list ."], "output": "[['trattoria', 'ambience general', 'positive', 'quaint'], ['trattoria', 'restaurant general', 'positive', 'romantic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food is delicious - from the specials to the regular menu - fare , the dishes are never a disappointment ."], "output": "[['food', 'food quality', 'positive', 'delicious'], ['specials', 'food quality', 'positive', 'NULL'], ['regular menu - fare', 'food quality', 'positive', 'NULL'], ['dishes', 'food quality', 'positive', 'never a disappointment']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["whether it ' s the parmesean porcini souffle or the lamb glazed with balsamic vinegar , you will surely be transported to northern italy with one bite ."], "output": "[['parmesean porcini souffle', 'food quality', 'positive', 'NULL'], ['lamb glazed with balsamic vinegar', 'food quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["although the tables may be closely situated , the candle - light , food - quality and service overcompensate ."], "output": "[['tables', 'ambience general', 'negative', 'closely situated'], ['candle - light', 'ambience general', 'positive', 'overcompensate'], ['food', 'food quality', 'positive', 'overcompensate'], ['service', 'service general', 'positive', 'overcompensate']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["a guaranteeed delight !"], "output": "[['NULL', 'restaurant general', 'positive', 'delight']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have known about this secret for the last 13 years , emilio ( the godfather ) has continued to serve food and wine for the gods at mortal prices ."], "output": "[['food', 'food quality', 'positive', 'NULL'], ['food', 'food prices', 'positive', 'NULL'], ['wine', 'drinks quality', 'positive', 'NULL'], ['wine', 'drinks prices', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if you go , try the marinara / arrabiatta sauce , the mozzarella en carozza is mmmmmmmm . . . . . everything is just delicious ."], "output": "[['marinara / arrabiatta sauce', 'food quality', 'positive', 'try'], ['marinara / arrabiatta sauce', 'food quality', 'positive', 'delicious'], ['NULL', 'food quality', 'positive', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i pray it stays open forever ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i found the food , service and value exceptional everytime i have been there ."], "output": "[['food', 'food quality', 'positive', 'exceptional'], ['service', 'service general', 'positive', 'exceptional'], ['NULL', 'restaurant prices', 'positive', 'exceptional']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i felt as though i were eating in paris ."], "output": "[['NULL', 'food quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the service was excellent - friendly and attentive ."], "output": "[['service', 'service general', 'positive', 'excellent'], ['service', 'service general', 'positive', 'friendly'], ['service', 'service general', 'positive', 'attentive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the prices are wonderfully low ."], "output": "[['NULL', 'restaurant prices', 'positive', 'wonderfully low']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very good wine choices ."], "output": "[['wine choices', 'drinks style_options', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["who has room for cheesesticks with the best pizza in nyc !"], "output": "[['pizza', 'food quality', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["get the pepperoni - yum - and a family style salad ."], "output": "[['pepperoni', 'food quality', 'positive', 'yum'], ['family style salad', 'food quality', 'positive', 'yum']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great staff ."], "output": "[['staff', 'service general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["always great service !"], "output": "[['service', 'service general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i go twice a month !"], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food is good , i ca n ' t lie ."], "output": "[['food', 'food quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the hostess and the waitress were incredibly rude and did everything they could to rush us out ."], "output": "[['hostess', 'service general', 'negative', 'rude'], ['waitress', 'service general', 'negative', 'rude']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we were planning to get dessert but the waitress basically through the bill at us before we had a chance to order ."], "output": "[['waitress', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this place is pricey , and yes , the food is worth it ; but the service makes you feel like you should be paying a quater of the price ."], "output": "[['place', 'restaurant prices', 'negative', 'NULL'], ['the', 'food quality', 'positive', 'is'], ['the', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["save yourself the time and trouble and skip this one !"], "output": "[['NULL', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["amma is nothing special ."], "output": "[['amma', 'restaurant general', 'neutral', 'nothing special']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ate here a week ago and found most dishes average at best and too expensive ."], "output": "[['dishes', 'food quality', 'negative', 'average at best'], ['dishes', 'food prices', 'negative', 'expensive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["will not be back ."], "output": "[['NULL', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["do n ' t dine at tamarind for the vegetarian dishes , they are simply not up to par with the non - veg selections ."], "output": "[['vegetarian dishes', 'food quality', 'negative', 'not up to par'], ['non - veg selections', 'food quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this place is always packed ."], "output": "[['place', 'ambience general', 'neutral', 'packed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["most importantly , food is excellent ."], "output": "[['food', 'food quality', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["try the sea bass ."], "output": "[['sea bass', 'food quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["highly recommended ."], "output": "[['NULL', 'restaurant general', 'positive', 'recommended']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["first of all dal bukhara rocks ."], "output": "[['dal bukhara rocks .', 'food quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i am happy i did the food was awsome ."], "output": "[['food', 'food quality', 'positive', 'awsome']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["and yes dal bukhara is so dam good and so are all the kababs ."], "output": "[['kababs', 'food quality', 'positive', 'good'], ['dal bukhara', 'food quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but overall i give it a 10"], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["10"], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["haru on park s is simply disgusting ."], "output": "[['haru on park s', 'restaurant general', 'negative', 'disgusting']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the fish was not fresh and the rice tasted old and stale ."], "output": "[['fish', 'food quality', 'negative', 'not fresh'], ['rice', 'food quality', 'negative', 'old'], ['rice', 'food quality', 'negative', 'stale']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["quite frankly , this is some of the worst sushi i have ever tried ."], "output": "[['sushi', 'food quality', 'negative', 'worst']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["will never be back ."], "output": "[['NULL', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["honestly the worst sushi my husband and i had in our entire lives ."], "output": "[['sushi', 'food quality', 'negative', 'worst']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["not sure why this restaurant would be rated that highly ."], "output": "[['restaurant', 'restaurant general', 'negative', 'highly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the all - u - can - eat sushi is definitely in very poor quality ."], "output": "[['all - u - can - eat sushi', 'food quality', 'negative', 'poor quality']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["wont come back again for sure !"], "output": "[['NULL', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the only things u could really taste are the very salty soy sauce ( even its low sodium ) , the vinegar - soaked rice , and the scallion on top of the fish ."], "output": "[['soy sauce', 'food quality', 'negative', 'salty'], ['rice', 'food quality', 'negative', 'vinegar - soaked']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the waitstaffs are nice though ."], "output": "[['waitstaffs', 'service general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have been to roth ' s twice and both times were very disappointing ."], "output": "[[\"roth ' s\", 'restaurant general', 'negative', 'disappointing .']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["both times i was extremely dissappointed by the service , which was boarderline rude ."], "output": "[['service', 'service general', 'negative', 'dissappointed'], ['service', 'service general', 'negative', 'rude']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["they wouldnt even let me finish my glass of wine before offering another ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["much of the time it seems like they do not care about you ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the dinner was ok , nothing i would have again ."], "output": "[['dinner', 'food quality', 'negative', 'ok']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this was a great surprise ."], "output": "[['NULL', 'restaurant general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i look forward to eating here again"], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["planet thai is great !"], "output": "[['planet thai', 'restaurant general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we love the food , drinks , and atmosphere !"], "output": "[['food', 'food quality', 'positive', 'love'], ['drinks', 'drinks quality', 'positive', 'love'], ['atmosphere', 'ambience general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the svc can be a bit rude at times , esp if you have big group , but overall the restaurant is a must !"], "output": "[['svc', 'service general', 'negative', 'rude'], ['restaurant', 'restaurant general', 'positive', 'must']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["try the pad thai , it ' s fabulous and their prices are so cheap !"], "output": "[['pad thai', 'food quality', 'positive', 'try'], ['pad thai', 'food quality', 'positive', 'fabulous'], ['pad thai', 'food quality', 'positive', 'cheap'], ['NULL', 'restaurant prices', 'positive', 'so cheap']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["just because it ' s cheap does not mean the portions are small or the food is nasty , it is great !"], "output": "[['portions', 'food style_options', 'positive', 'small'], ['food', 'food quality', 'positive', 'nasty'], ['NULL', 'restaurant prices', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["they forgot a sandwich , did n ' t include plastic forks , and did n ' t include pita with the hummus platter ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["also , the sandwiches ( nearing $ 7 ) did n ' t come with anything like chips or a side ."], "output": "[['sandwiches', 'food style_options', 'positive', 'NULL'], ['sandwiches', 'food prices', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall , not worth the money ."], "output": "[['NULL', 'restaurant general', 'negative', 'not worth'], ['NULL', 'restaurant prices', 'negative', 'not worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["eating in , the atmosphere saves it , but at your desk , it ' s a very disappointing experience ."], "output": "[['atmosphere', 'ambience general', 'positive', 'saves'], ['NULL', 'restaurant general', 'negative', 'disappointing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["chennai garden is my favorite indian restaurant in the city ."], "output": "[['chennai garden', 'restaurant general', 'positive', 'favorite']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["they have authentic indian at amazing prices ."], "output": "[['indian', 'food quality', 'positive', 'authentic'], ['NULL', 'food prices', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this restaurant is vegetarian ; there are no meat dishes whatsoever ."], "output": "[['meat dishes', 'food style_options', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the seats are uncomfortable if you are sitting against the wall on wooden benches ."], "output": "[['seats', 'ambience general', 'negative', 'uncomfortable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s a rather cramped and busy restaurant and it closes early ."], "output": "[['restaurant', 'restaurant miscellaneous', 'negative', 'busy'], ['restaurant', 'ambience general', 'negative', 'cramped']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food is tasty and portion sizes are appropriate ."], "output": "[['food', 'food quality', 'positive', 'tasty'], ['portion sizes', 'food style_options', 'positive', 'appropriate']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is a nice restaurant if you are looking for a good place to host an intimate dinner meeting with business associates ."], "output": "[['restaurant', 'restaurant miscellaneous', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["not a great place for family or general dining ."], "output": "[['place', 'restaurant miscellaneous', 'negative', 'not a great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["food is excellent ."], "output": "[['food', 'food quality', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["fish is so very fresh ."], "output": "[['fish', 'food quality', 'positive', 'fresh']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["waitstaff are very friendly ."], "output": "[['waitstaff', 'service general', 'positive', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["love yuka ."], "output": "[['yuka', 'restaurant general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["mermaid inn is an overall good restaurant with really good seafood ."], "output": "[['seafood', 'food quality', 'positive', 'good'], ['mermaid inn', 'restaurant general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the lobster sandwich is good and the spaghetti with scallops and shrimp is great ."], "output": "[['lobster sandwich', 'food quality', 'positive', 'good'], ['spaghetti with scallops and shrimp', 'food quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the service is good and ambience is good for a date or group outing ."], "output": "[['service', 'service general', 'positive', 'good'], ['ambience', 'ambience general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the only fallback on this restaurant is the prices ."], "output": "[['restaurant', 'restaurant prices', 'negative', 'fallback']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["even though its good seafood , the prices are too high ."], "output": "[['seafood', 'food quality', 'positive', 'good'], ['NULL', 'restaurant prices', 'negative', 'too high']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the lobster sandwich is $ 24 and although it was good it was not nearly enough to warrant that price ."], "output": "[['lobster sandwich', 'food quality', 'positive', 'good'], ['lobster sandwich', 'food prices', 'negative', 'not nearly enough']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we were very pleasantly surprised ."], "output": "[['NULL', 'restaurant general', 'positive', 'pleasantly surprised']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food was delicious ( i had a halibut special , my husband had steak ) , and the service was top - notch ."], "output": "[['food', 'food quality', 'positive', 'delicious'], ['halibut special', 'food quality', 'positive', 'delicious'], ['steak', 'food quality', 'positive', 'delicious'], ['service', 'service general', 'positive', 'top - notch']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["when my dessert came , there was a candle in it - not because anyone asked for one - but because the waiter must have seen me opening my birthday card and gift , and said he knew it was a special occassion of some sort ."], "output": "[['waiter', 'service general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["truly the mark of an attentive waiter ."], "output": "[['waiter', 'service general', 'positive', 'attentive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i highly recommend the restaurant based on our experience last night ."], "output": "[['restaurant', 'restaurant general', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we ate at this thai place following the reviews but very unhappy with the foods ."], "output": "[['foods', 'food quality', 'negative', 'unhappy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we thought that this place is using too much of msg cooking in the foods ."], "output": "[['foods', 'food quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["they do n ' t concern much of customer ' s health , just want to make money ."], "output": "[['NULL', 'restaurant miscellaneous', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["please do n ' t fool us ."], "output": "[['NULL', 'restaurant miscellaneous', 'negative', 'fool']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i recommend the jelly fish , drunken chicken and the soupy dumplings , certainly the stir fry blue crab ."], "output": "[['jelly fish', 'food quality', 'positive', 'recommend'], ['drunken chicken', 'food quality', 'positive', 'recommend'], ['soupy dumplings', 'food quality', 'positive', 'recommend'], ['stir fry blue crab', 'food quality', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food is so cheap and the waiters are nice ."], "output": "[['food', 'food prices', 'positive', 'cheap'], ['waiters', 'service general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["of course , it is crowded but who cares ."], "output": "[['NULL', 'ambience general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["authentic shanghai style and i can not recommend a better shanghai place in new york ."], "output": "[['NULL', 'restaurant miscellaneous', 'positive', 'authentic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["have frequented ' ino for several years and the food remains excellent ."], "output": "[['food', 'food quality', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["cheese plate is a varied delight and great bargain at $ 10 ."], "output": "[['cheese plate', 'food quality', 'positive', 'varied delight'], ['cheese plate', 'food style_options', 'positive', 'varied delight'], ['cheese plate', 'food prices', 'positive', 'great bargain']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the large selection of bruschettas , paninis , tramezzinis keep the palate from stagnating ."], "output": "[['bruschettas', 'food style_options', 'positive', 'large selection'], ['paninis', 'food style_options', 'positive', 'large selection'], ['tramezzinis', 'food style_options', 'positive', 'large selection']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["( the asparagus , truffle oil , parmesan bruschetta is a winner ! )"], "output": "[['asparagus', 'food quality', 'positive', 'winner'], ['truffle oil', 'food quality', 'positive', 'winner'], ['parmesan bruschetta', 'food quality', 'positive', 'winner']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["be sure to try the seasonal , and always delicious , specials ."], "output": "[['specials', 'food quality', 'positive', 'try'], ['specials', 'food quality', 'positive', 'seasonal'], ['specials', 'food quality', 'positive', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["definitely a neighborhood favorite ."], "output": "[['NULL', 'restaurant general', 'positive', 'favorite']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i loved this place ! !"], "output": "[['place', 'restaurant general', 'positive', 'loved']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i almost hesititate to write a review because the atmosphere was so great and i would hate for it too become to crowded ."], "output": "[['atmosphere', 'ambience general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i like cafe noir dont get me wrong , it is jsut that the people who work there are evil and incompetent ! !"], "output": "[['people', 'service general', 'negative', 'evil'], ['people', 'service general', 'negative', 'incompetent'], ['cafe noir', 'restaurant general', 'positive', 'like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the service was terrible , we had to wait for everything and ask several of different people for the same thing before we were allowed to be served ."], "output": "[['service', 'service general', 'negative', 'terrible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the waitress , seems to be more concerned of looking good than actually waitressing ."], "output": "[['waitress', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["after dinner the manager grabbed my boyfriend , asked him : where are you from . . . maybe you dont know how things work in america . . . and in the end stormed away almost teareyed yelling that tips are the only thing they survive on ."], "output": "[['manager', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we did tip , i guess the model / waitress just wanted more and complained to the manager ."], "output": "[['waitress', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["pizza here is consistently good ."], "output": "[['pizza', 'food quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["salads are a delicious way to begin the meal ."], "output": "[['salads', 'food quality', 'positive', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is thick and slightly soggy ."], "output": "[['NULL', 'food quality', 'negative', 'thick'], ['NULL', 'food quality', 'negative', 'soggy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["decor is charming ."], "output": "[['decor', 'ambience general', 'positive', 'charming']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["service is average ."], "output": "[['service', 'service general', 'neutral', 'average']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["what a great place ."], "output": "[['place', 'restaurant general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the ambience was so fun , and the prices were great , on top of the fact that the food was really tasty ."], "output": "[['ambience', 'ambience general', 'positive', 'fun'], ['food', 'food quality', 'positive', 'tasty'], ['NULL', 'restaurant prices', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i was n ' t thrilled to have to wait on line for thirty minutes , but i guess that ' s the price you pay for a popular place ."], "output": "[['NULL', 'service general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i would definitely recommend sea if you like thai cuisine !"], "output": "[['thai cuisine', 'food quality', 'positive', 'like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i was here a few weeks back and we had the worst customer service experience at a restaurant ever ."], "output": "[['customer service', 'service general', 'negative', 'worst']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["a gentleman , maybe the manager , came to our table , and without so much as a smile or greeting asked for our order ."], "output": "[['gentleman', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["while it is understandable that every place is indeed different , there was not a need to be uncourteous to customers and downright rude ."], "output": "[['NULL', 'service general', 'negative', 'uncourteous'], ['NULL', 'service general', 'negative', 'rude']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["never again !"], "output": "[['NULL', 'restaurant general', 'negative', 'never again']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i absolutely loved this place ."], "output": "[['place', 'restaurant general', 'positive', 'loved']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["excellent atmosphere , delicious dishes good and friendly service ."], "output": "[['atmosphere', 'ambience general', 'positive', 'excellent'], ['dishes', 'food quality', 'positive', 'delicious'], ['service', 'service general', 'positive', 'good'], ['service', 'service general', 'positive', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is can became on e of the ny italian food fare institutions ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i think that it is absolutely brilliant and well runned business operation ."], "output": "[['NULL', 'restaurant general', 'positive', 'brilliant'], ['NULL', 'restaurant general', 'positive', 'well runned']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the wine list is also really nice ."], "output": "[['wine list', 'drinks style_options', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have been to casimir over 5 times and i have always had a great time there ."], "output": "[['casimir', 'restaurant general', 'positive', 'great time']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food is great and reasonably priced ."], "output": "[['food', 'food quality', 'positive', 'great'], ['food', 'food prices', 'positive', 'reasonably priced']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have tried to make reservations , but both times , the hostess did n ' t have my name ."], "output": "[['hostess', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if the weather is nice , try to snag an outside table ."], "output": "[['outside table', 'ambience general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the staff has been nice , but they seemed really stressed and the unisex bathroom needs to be cleaned more often ."], "output": "[['staff', 'service general', 'positive', 'nice'], ['staff', 'service general', 'positive', 'stressed'], ['unisex bathroom', 'ambience general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my boyfriend and i went there to celebrate my birthday the other night and all i can say is that it was magnificent ."], "output": "[['NULL', 'restaurant general', 'positive', 'magnificent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["from the spectacular caviar to the hospitable waitstaff , i felt like royalty and enjoyed every second of it ."], "output": "[['caviar', 'food quality', 'positive', 'spectacular'], ['waitstaff', 'service general', 'positive', 'hospitable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["considering we were the last patrons there and it was after the closing time , the waitstaff did not rush us at all and made us feel comfortable and relaxed ."], "output": "[['waitstaff', 'service general', 'positive', 'comfortable'], ['waitstaff', 'service general', 'positive', 'relaxed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i highly recommend caviar russe to anyone who wants delicious top grade caviar and fantastic service ."], "output": "[['caviar', 'food quality', 'positive', 'delicious top grade'], ['service', 'service general', 'positive', 'fantastic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["nice family owned traditional restaurant ."], "output": "[['restaurant', 'restaurant general', 'positive', 'traditional']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i was pleasantly surprised to find this gem in hoboken ."], "output": "[['NULL', 'restaurant general', 'positive', 'surprised']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i found the food to be outstanding , particulary the salmon dish i had ."], "output": "[['food', 'food quality', 'positive', 'outstanding'], ['salmon dish', 'food quality', 'positive', 'outstanding']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i also ordered the change mojito , which was out of this world ."], "output": "[['change mojito', 'drinks quality', 'positive', 'out of this world']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my friends settled for rice dishes , but we came back the following day to try the dim sum , which was good . . . not outstanding , but good ."], "output": "[['dim sum', 'food quality', 'neutral', 'good'], ['dim sum', 'food quality', 'neutral', 'good'], ['dim sum', 'food quality', 'neutral', 'not outstanding']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we ate out in the back patio , which is worth it as it ' s cool and the music is hear well there ."], "output": "[['back patio', 'ambience general', 'positive', 'worth'], ['back patio', 'ambience general', 'positive', 'cool'], ['music', 'ambience general', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall , excellent restaurant !"], "output": "[['restaurant', 'restaurant general', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food was good ."], "output": "[['food', 'food quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the place was nice and calm ."], "output": "[['place', 'ambience general', 'positive', 'nice'], ['place', 'ambience general', 'positive', 'calm']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but the service was a bit slow ."], "output": "[['service', 'service general', 'negative', 'slow']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the buffet had a nice selection ."], "output": "[['buffet', 'food style_options', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food was average or above including some surprising tasty dishes ."], "output": "[['food', 'food quality', 'positive', 'average or above'], ['dishes', 'food quality', 'positive', 'surprising'], ['dishes', 'food quality', 'positive', 'tasty']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["service was also very good ."], "output": "[['service', 'service general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i would go back ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i got an excellent piece of cheesecake and we had several other nice pastries ."], "output": "[['cheesecake', 'food quality', 'positive', 'excellent'], ['pastries', 'food quality', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i would recommend roxy ' s for that , but not for their food ."], "output": "[['food', 'food quality', 'negative', 'recommend'], ['NULL', 'food quality', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my son and his girlfriend both wanted cheeseburgers and they were huge !"], "output": "[['cheeseburgers', 'food style_options', 'neutral', 'huge']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but , they were too big for the bun ."], "output": "[['NULL', 'food style_options', 'negative', 'too big']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["consequently , their burgers fell apart in their hands and made such a mess that they did ' nt feel like finishing them ."], "output": "[['burgers', 'food style_options', 'negative', 'fell apart']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["also they were $ 15 each !"], "output": "[['NULL', 'food prices', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i had a huge pastrami sandwich on a roll ."], "output": "[['pastrami sandwich on a roll', 'food style_options', 'neutral', 'huge']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it was $ 14 not really bad for a pound of pastrami - but it did n ' t have much taste - i ' ve had better for less elsewhere !"], "output": "[['NULL', 'food prices', 'neutral', 'not really bad'], ['NULL', 'food quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this place is really trendi but they have forgotten about the most important part of a restaurant , the food ."], "output": "[['food', 'food quality', 'negative', 'forgotten'], ['place', 'ambience general', 'positive', 'trendi']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the last two times i ordered from here my food was soo spicy that i could barely eat it , and the spice took away from the flavor of the dish ."], "output": "[['food', 'food quality', 'negative', 'spicy'], ['spice', 'food quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["and the tom kha soup was pathetic ."], "output": "[['tom kha soup', 'food quality', 'negative', 'pathetic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if you want good authentic thai this place is not the place to go ."], "output": "[['thai', 'food quality', 'negative', 'good'], ['thai', 'food quality', 'negative', 'authentic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we went here for lunch a couple of weeks ago on a saturday , and i was thoroughly impressed with the food ."], "output": "[['food', 'food quality', 'positive', 'impressed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the pesto pizza was excellent , thin - crust pizza with a nice amount of spicy italian cheese that i ' d never heard of before ."], "output": "[['pesto pizza', 'food quality', 'positive', 'excellent'], ['spicy italian cheese', 'food quality', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["conveniently located too , being right on bedford ave ."], "output": "[['NULL', 'location general', 'positive', 'conveniently']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the back garden sitting area is very pleasant , where you can see their personal herb garden ."], "output": "[['back garden sitting area', 'ambience general', 'positive', 'pleasant']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we had the lobster sandwich and it was fantastic ."], "output": "[['lobster sandwich', 'food quality', 'positive', 'fantastic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my husband said he could ' ve eaten several more , the portion was fine for me he even exclaimed that the french fries were the best he has had ."], "output": "[['portion', 'food style_options', 'positive', 'fine'], ['french fries', 'food quality', 'positive', 'best'], ['NULL', 'food style_options', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we had the scallops as an appetizer and they were delicious and the sauce was wonderful ."], "output": "[['scallops', 'food quality', 'positive', 'delicious'], ['sauce', 'food quality', 'positive', 'wonderful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we waited at the bar and had martinis that were just right ."], "output": "[['martinis', 'drinks quality', 'positive', 'right']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["love the food ."], "output": "[['food', 'food quality', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s the only place you can get yummy authentic japanese comfort food ."], "output": "[['japanese comfort food', 'food quality', 'positive', 'yummy'], ['japanese comfort food', 'food quality', 'positive', 'authentic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["and you ca n ' t beat the prices ."], "output": "[['NULL', 'restaurant prices', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve lived in ny for 5 years and this place has it all ."], "output": "[['place', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great food , good size menu , great service and an unpretensious setting ."], "output": "[['food', 'food quality', 'positive', 'great'], ['menu', 'food style_options', 'positive', 'good size'], ['service', 'service general', 'positive', 'great'], ['setting', 'ambience general', 'positive', 'unpretensious']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the dishes offered were unique , very tasty and fresh from the lamb sausages , sardines with biscuits , large whole shrimp to the amazing pistachio ice cream ( the best and freshest i ' ve ever had ) ."], "output": "[['dishes', 'food quality', 'positive', 'unique'], ['dishes', 'food quality', 'positive', 'tasty'], ['dishes', 'food quality', 'positive', 'fresh'], ['lamb sausages', 'food quality', 'positive', 'NULL'], ['sardines with biscuits', 'food quality', 'positive', 'NULL'], ['large whole shrimp', 'food quality', 'positive', 'NULL'], ['pistachio ice cream', 'food quality', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m glad i was introduced to this place and this is a rare gem in ny ."], "output": "[['place', 'restaurant general', 'positive', 'glad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the freshest , best variety , and the fastest delivery ."], "output": "[['delivery', 'service general', 'positive', 'fastest'], ['NULL', 'food quality', 'positive', 'freshest'], ['NULL', 'food style_options', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["also very inexpensive ."], "output": "[['NULL', 'restaurant prices', 'positive', 'inexpensive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the service was excellent and the food was delicious ."], "output": "[['service', 'service general', 'positive', 'excellent'], ['food', 'food quality', 'positive', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we are very particular about sushi and were both please with every choice which included : ceviche mix ( special ) , crab dumplings , assorted sashimi , sushi and rolls , two types of sake , and the banana tempura ."], "output": "[['sushi', 'food quality', 'positive', 'particular'], ['ceviche mix ( special )', 'food quality', 'positive', 'please'], ['crab dumplings', 'food quality', 'positive', 'please'], ['assorted sashimi', 'food quality', 'positive', 'please'], ['sushi', 'food quality', 'positive', 'please'], ['rolls', 'food quality', 'positive', 'please'], ['two types of sake', 'food quality', 'positive', 'please'], ['banana tempura', 'food quality', 'positive', 'please']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["definitely a great spot for a nice occasion or date ."], "output": "[['spot', 'restaurant miscellaneous', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["average to good thai food , but terrible delivery ."], "output": "[['thai food', 'food quality', 'positive', 'average to good'], ['delivery', 'service general', 'negative', 'terrible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve waited over one hour for food ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["they were very abrupt with me when i called and actually claimed the food was late because they were out of rice ."], "output": "[['NULL', 'service general', 'negative', 'abrupt']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["a thai restaurant out of rice during dinner ?"], "output": "[['thai restaurant', 'restaurant miscellaneous', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food arrived 20 minutes after i called , cold and soggy ."], "output": "[['food', 'food quality', 'negative', 'cold'], ['food', 'food quality', 'negative', 'soggy'], ['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is a wonderful place on all stand points especially value ofr money ."], "output": "[['place', 'restaurant prices', 'positive', 'wonderful'], ['place', 'restaurant general', 'positive', 'wonderful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["an excellent service"], "output": "[['service', 'service general', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we were greeted promptly by the waiter who was very nice and cordial ."], "output": "[['waiter', 'service general', 'positive', 'nice'], ['waiter', 'service general', 'positive', 'cordial'], ['NULL', 'service general', 'positive', 'promptly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["she was very helpful in suggesting us drinks and helped us in ordering a lot of good dishes since we knew nothing about indian food ."], "output": "[['dishes', 'food quality', 'positive', 'good'], ['NULL', 'service general', 'positive', 'helpful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food looked very appetizing and delicious since it came on a variety of fancy plates ."], "output": "[['food', 'food style_options', 'positive', 'appetizing'], ['food', 'food style_options', 'positive', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we ended our great experience by having gulab jamun ( dessert ) recommended by the waiter ."], "output": "[['NULL', 'restaurant general', 'positive', 'great'], ['gulab jamun ( dessert )', 'food quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i thanked my friend who recommended me this restaurant and will certainly recommend it to others ."], "output": "[['restaurant', 'restaurant general', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["service here was great , food was fantastic ."], "output": "[['service', 'service general', 'positive', 'great'], ['food', 'food quality', 'positive', 'fantastic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["guacamole + shrimp appetizer was really great , we both had the filet , very good , did n ' t much like the frites that came with , but the filet was so good , neither of us cared ."], "output": "[['guacamole + shrimp appetizer', 'food quality', 'positive', 'great'], ['filet', 'food quality', 'positive', 'good'], ['frites', 'food quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["will absolutely visit again ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["you can not go wrong with this place ."], "output": "[['place', 'restaurant general', 'positive', 'wrong']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food is outstanding and the service is quick , friendly and very professional ."], "output": "[['food', 'food quality', 'positive', 'outstanding'], ['service', 'service general', 'positive', 'quick'], ['service', 'service general', 'positive', 'friendly'], ['service', 'service general', 'positive', 'professional']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["always a nice crowd , but never loud ."], "output": "[['crowd', 'restaurant miscellaneous', 'positive', 'nice'], ['crowd', 'restaurant miscellaneous', 'positive', 'never loud'], ['NULL', 'ambience general', 'positive', 'never loud']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["go here ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["good for dates or with friends ."], "output": "[['NULL', 'restaurant miscellaneous', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i am reluctant to write because i would not want my jem of a pizza place to become overcrowded ."], "output": "[['pizza place', 'restaurant miscellaneous', 'positive', 'overcrowded']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["however , it is jus too good to not praise it ."], "output": "[['NULL', 'restaurant general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["by far , the best pizza in manhattan ."], "output": "[['pizza', 'food quality', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the crust is thin , the ingredients are fresh and the staff is friendly ."], "output": "[['crust', 'food quality', 'positive', 'thin'], ['staff', 'service general', 'positive', 'friendly'], ['ingredients', 'food quality', 'positive', 'fresh']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the menu has so many fish items and oysters ."], "output": "[['menu', 'food style_options', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the fish was really , really fresh ."], "output": "[['fish', 'food quality', 'positive', 'fresh']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we all agreed that mare is one of the best seafood restaurants in new york ."], "output": "[['mare', 'restaurant general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i stumbled upon this great pizzeria as i explored my new neighborhood ."], "output": "[['pizzeria', 'restaurant general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["all of the pizzas are terrific and the price is even better !"], "output": "[['pizzas', 'food quality', 'positive', 'terrific'], ['NULL', 'restaurant prices', 'positive', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i highly recommend the sophia pizza ."], "output": "[['sophia pizza', 'food quality', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s to die for !"], "output": "[['NULL', 'food quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food was mediocre at best but it was the horrible service that made me vow never to go back ."], "output": "[['food', 'food quality', 'negative', 'mediocre'], ['service', 'service general', 'negative', 'horrible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["immediately after we paid , the waiter took the money and said , okay , you guys are outta here ."], "output": "[['waiter', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so rushing us out was absolutely unnecessary !"], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["for the people who want great food plus great service , roxy is a place to avoid !"], "output": "[['food', 'food quality', 'negative', 'great'], ['service', 'service general', 'negative', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the first time the sushi was outstanding , the second time it was a little bland ."], "output": "[['sushi', 'food quality', 'negative', 'outstanding'], ['sushi', 'food quality', 'negative', 'bland']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m sure i ' ll return for a final judgement tho ."], "output": "[['NULL', 'restaurant general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the blond wood decor is very soothing , the premium sake is excellent and the service is great ."], "output": "[['blond wood decor', 'ambience general', 'positive', 'soothing'], ['premium sake', 'drinks quality', 'positive', 'excellent'], ['service', 'service general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["mizu is the japenese find in grammercy ."], "output": "[['mizu', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["while their kitchen food is delicious , their sushi is out of this world ."], "output": "[['kitchen food', 'food quality', 'positive', 'delicious'], ['sushi', 'food quality', 'positive', 'out of this world']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["mizu is home to creative and unique rolls not to found anywhere else ."], "output": "[['rolls', 'food style_options', 'positive', 'creative'], ['rolls', 'food style_options', 'positive', 'unique']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["not only is the cuisine the best around , the service has always been attentive and charming ."], "output": "[['cuisine', 'food quality', 'positive', 'best'], ['service', 'service general', 'positive', 'attentive'], ['service', 'service general', 'positive', 'charming']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["warning : you may find it difficult to dine at other japanese restaurants after a visit to mizu !"], "output": "[['mizu', 'restaurant general', 'positive', 'difficult']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the entree was bland and small , dessert was not inspired ."], "output": "[['entree', 'food quality', 'negative', 'bland'], ['entree', 'food style_options', 'negative', 'small'], ['dessert', 'food quality', 'negative', 'not inspired']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i expected quite a bit more from such an expensive menu ."], "output": "[['menu', 'food prices', 'negative', 'expensive'], ['menu', 'food quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the view is spectacular , and the food is great ."], "output": "[['view', 'location general', 'positive', 'spectacular'], ['food', 'food quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["wonderful strawberry daiquiries as well !"], "output": "[['strawberry daiquiries', 'drinks quality', 'positive', 'wonderful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["definitely worth the trip to battery park city !"], "output": "[['NULL', 'restaurant general', 'positive', 'worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["one of my favorite places in manhattan ."], "output": "[['NULL', 'restaurant general', 'positive', 'favorite']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["authentic taiwanese food that ' s cheap . . . what more could you ask for ?"], "output": "[['taiwanese food', 'food quality', 'positive', 'authentic'], ['taiwanese food', 'food prices', 'positive', 'cheap']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["( besides that there should be more restaurants like it around the city ) ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the cold appetizer dishes taste like the way i remember them to taste when i was growing up in taiwan ."], "output": "[['cold appetizer dishes', 'food quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["delicious simple food in nice outdoor atmosphere ."], "output": "[['food', 'food quality', 'positive', 'delicious'], ['food', 'food style_options', 'positive', 'simple'], ['outdoor atmosphere', 'ambience general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["kind , attentive wait staff ."], "output": "[['wait staff', 'service general', 'positive', 'kind'], ['wait staff', 'service general', 'positive', 'attentive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i really like both the scallops and the mahi mahi ( on saffron risotto yum ! ) ."], "output": "[['scallops', 'food quality', 'positive', 'like'], ['mahi mahi ( on saffron risotto', 'food quality', 'positive', 'like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my friend devoured her chicken and mashed potatos ."], "output": "[['chicken and mashed potatos', 'food quality', 'positive', 'devoured']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["delicious crab cakes too ."], "output": "[['crab cakes', 'food quality', 'positive', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["even if the food was n ' t this good , the garden is a great place to sit outside and relax ."], "output": "[['garden', 'ambience general', 'positive', 'great'], ['food', 'food quality', 'negative', \"n ' t this good\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great neighborhood joint ."], "output": "[['joint', 'restaurant general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is a nice pizza place with good selection of thin crust pizza including the basil slice ."], "output": "[['selection of thin crust pizza', 'food style_options', 'positive', 'good'], ['selection of thin crust pizza', 'food quality', 'positive', 'good'], ['basil slice', 'food quality', 'positive', 'NULL'], ['pizza place', 'restaurant general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["their calzones are horrific , bad , vomit - inducing , yuck ."], "output": "[['calzones', 'food quality', 'negative', 'horrific'], ['calzones', 'food quality', 'negative', 'bad'], ['calzones', 'food quality', 'negative', 'vomit - inducing'], ['calzones', 'food quality', 'negative', 'yuck']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["they smell like they stuff them with old canned vegetables like the spinach mushroom calzone ."], "output": "[['NULL', 'food quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the counter service is bad ."], "output": "[['counter service', 'service general', 'negative', 'bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["they charge different prices all the time ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["they ' re rude at times , and not very friendly ."], "output": "[['NULL', 'service general', 'negative', 'rude'], ['NULL', 'service general', 'negative', 'not very friendly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["no pizza 33 for me !"], "output": "[['pizza 33', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["anybody who likes this place must be from a different planet , where greasy , dry and tasteless are complimentary ."], "output": "[['NULL', 'food quality', 'negative', 'greasy'], ['NULL', 'food quality', 'negative', 'dry'], ['NULL', 'food quality', 'negative', 'tasteless']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the dosas are skimpy , unattractive and drip with grease , and personally i ' d drink popcorn topping before i ' d eat another one of these ."], "output": "[['dosas', 'food style_options', 'negative', 'skimpy'], ['dosas', 'food quality', 'negative', 'unattractive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the sandwiches are dry , tasteless and way overpriced ."], "output": "[['sandwiches', 'food quality', 'negative', 'dry'], ['sandwiches', 'food quality', 'negative', 'tasteless'], ['sandwiches', 'food quality', 'negative', 'overpriced'], ['sandwiches', 'food prices', 'negative', 'dry'], ['sandwiches', 'food prices', 'negative', 'tasteless'], ['sandwiches', 'food prices', 'negative', 'overpriced']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["calling the place hampton chutney co . does warn you that these folks offer more style than substance , but in this unattractive room with unhelpful clerks there was a dearth of the former too ."], "output": "[['place', 'restaurant general', 'negative', 'NULL'], ['room', 'ambience general', 'negative', 'unattractive'], ['clerks', 'service general', 'negative', 'unhelpful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["seriously , this place kicks ass ."], "output": "[['place', 'restaurant general', 'positive', 'kicks ass']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the atmosphere is unheralded , the service impecible , and the food magnificant ."], "output": "[['atmosphere', 'ambience general', 'positive', 'unheralded'], ['service', 'service general', 'positive', 'impecible'], ['food', 'food quality', 'positive', 'magnificant']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["best italian food i ever had ( and being italian , that means alot ) ."], "output": "[['italian food', 'food quality', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is nearly impossible to get a table , so if you ever have the chance to go here for dinner , do not pass it up ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is such a lovely , peaceful place to eat outside ."], "output": "[['place', 'ambience general', 'positive', 'lovely'], ['place', 'ambience general', 'positive', 'peaceful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the restaurant looks out over beautiful green lawns to the hudson river and the statue of liberty ."], "output": "[['restaurant', 'location general', 'positive', 'beautiful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is set far from the small street it ' s on , and there is no traffic noise ."], "output": "[['NULL', 'location general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is a great place to take out - of - towners , and perfect for watching the sunset ."], "output": "[['place', 'location general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great sushi experience ."], "output": "[['sushi', 'food quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["nice value ."], "output": "[['NULL', 'restaurant prices', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["unique apppetizers ."], "output": "[['apppetizers', 'food quality', 'positive', 'unique']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["try sushimi cucumber roll ."], "output": "[['sushimi cucumber roll', 'food quality', 'positive', 'try']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["good spreads , great beverage selections and bagels really tasty ."], "output": "[['spreads', 'food quality', 'positive', 'good'], ['beverage selections', 'drinks style_options', 'positive', 'great'], ['bagels', 'food quality', 'positive', 'tasty']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["murray wo n ' t do it ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but who says murray ' s is anything about service ."], "output": "[['service', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so close , but not good enough ."], "output": "[['NULL', 'restaurant general', 'neutral', 'not good enough']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["do n ' t be fooled by crowds of people ."], "output": "[['NULL', 'restaurant miscellaneous', 'negative', 'fooled']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the service is awful ."], "output": "[['service', 'service general', 'negative', 'awful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this place is not worth the prices ."], "output": "[['place', 'restaurant general', 'negative', 'not worth'], ['place', 'restaurant prices', 'negative', 'not worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["also , do n ' t plan on asking for your favorite roll , if it ' s not on the menu , you ca n ' t have it ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["love pizza 33 . . ."], "output": "[['pizza 33', 'restaurant general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i will be out with friends and all of a sudden i am hungry and i only crave one thing . . . their pizza ."], "output": "[['pizza', 'food quality', 'positive', 'crave']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it hits the spot every time"], "output": "[['NULL', 'restaurant general', 'positive', 'hits']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this tiny williamsburg spot is always pleasantly surprising ."], "output": "[['williamsburg spot', 'restaurant general', 'positive', 'surprising']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the pizza is delicious and the proprietor is one of the nicest in nyc ."], "output": "[['pizza', 'food quality', 'positive', 'delicious'], ['proprietor', 'service general', 'positive', 'nicest']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["they even scoop it out nice ( for those on a diet ) not too much not to little ."], "output": "[['NULL', 'food style_options', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the cream cheeses are out of this world and i love that coffee ! !"], "output": "[['cream cheeses', 'food quality', 'positive', 'out of this world'], ['coffee', 'drinks quality', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["a little crowded but they move that line really fast !"], "output": "[['NULL', 'service general', 'positive', 'fast'], ['NULL', 'restaurant miscellaneous', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["a little pricey but it really hits the spot on a sunday morning !"], "output": "[['NULL', 'restaurant prices', 'negative', 'pricey'], ['NULL', 'restaurant general', 'positive', 'hits']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["bagels are ok , but be sure not to make any special requests !"], "output": "[['bagels', 'food quality', 'neutral', 'ok'], ['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i asked for an open faced cheese sandwich and the manager basically told me to take my business elsewhere !"], "output": "[['manager', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["be sure not to get anything other than bagels ! . ."], "output": "[['bagels', 'food quality', 'positive', 'NULL'], ['NULL', 'food quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the worst excuse for japanese food i ' ve ever encountered ."], "output": "[['NULL', 'restaurant miscellaneous', 'negative', 'worst']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the soup for the udon was soy sauce and water ."], "output": "[['soup for the udon', 'food quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the sushi was awful !"], "output": "[['sushi', 'food quality', 'negative', 'awful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the rice was poor quality and was cooked so badly it was hard ."], "output": "[['rice', 'food quality', 'negative', 'poor quality'], ['rice', 'food quality', 'negative', 'cooked so badly'], ['rice', 'food quality', 'negative', 'hard']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["furthermore , the rice had no seasoning , so the sushi was bland and disgusting ."], "output": "[['rice', 'food quality', 'negative', 'NULL'], ['sushi', 'food quality', 'negative', 'bland'], ['sushi', 'food quality', 'negative', 'disgusting']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the fish was adequate , but inexpertly sliced ."], "output": "[['fish', 'food style_options', 'negative', 'adequate'], ['fish', 'food style_options', 'negative', 'inexpertly sliced']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is obvious that no one in the restaurant has any idea about or experience with japanese cuisine ."], "output": "[['japanese cuisine', 'food quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["good , fast service ."], "output": "[['service', 'service general', 'positive', 'good'], ['service', 'service general', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i would highly recommend ."], "output": "[['NULL', 'restaurant general', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["food is great and inexpensive ."], "output": "[['food', 'food quality', 'positive', 'great'], ['food', 'food prices', 'positive', 'inexpensive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the location is perfect ."], "output": "[['location', 'location general', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["give it a try and enjoy ."], "output": "[['NULL', 'restaurant general', 'positive', 'enjoy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["well , this place is so ghetto its not even funny ."], "output": "[['place', 'ambience general', 'negative', 'ghetto'], ['place', 'ambience general', 'negative', 'not even funny']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if you like your music blasted and the system isnt that great and if you want to pay at least 100 dollar bottle minimun then you ' ll love it here ."], "output": "[['bottle', 'drinks prices', 'negative', 'love'], ['music', 'ambience general', 'negative', 'like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["would never go back there ."], "output": "[['NULL', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["awsome pizza especially the margheritta slice ."], "output": "[['pizza', 'food quality', 'positive', 'awsome'], ['margheritta slice', 'food quality', 'positive', 'awsome']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["always busy but fast moving ."], "output": "[['NULL', 'service general', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great atmoshere and worth every bit ."], "output": "[['atmoshere', 'ambience general', 'positive', 'great'], ['NULL', 'restaurant general', 'positive', 'worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["open late ( well as late as i ever got there and i ' m a night person )"], "output": "[['NULL', 'restaurant miscellaneous', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["winnie and her staff are the best crew you can find serving you ."], "output": "[['winnie', 'service general', 'positive', 'best'], ['staff', 'service general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food is reliable and the price is moderate ."], "output": "[['food', 'food quality', 'positive', 'reliable'], ['NULL', 'restaurant prices', 'neutral', 'moderate']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["what more can you ask for ?"], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["everything about this restaurant was special ."], "output": "[['restaurant', 'restaurant general', 'positive', 'special']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the service was attentive , yet discreet ."], "output": "[['service', 'service general', 'positive', 'attentive'], ['service', 'service general', 'positive', 'discreet']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the flavors robust and subtle ."], "output": "[['NULL', 'food quality', 'positive', 'robust'], ['NULL', 'food quality', 'positive', 'subtle']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the brioche and lollies as party favors is a cute and sweet touch to a most memorable meal ."], "output": "[['brioche and lollies', 'food quality', 'positive', 'cute'], ['brioche and lollies', 'food quality', 'positive', 'sweet']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m saving up for my next visit ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the place was quiet and delightful ."], "output": "[['place', 'ambience general', 'positive', 'quiet'], ['place', 'ambience general', 'positive', 'delightful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i did not try the caviar but i tried their salmon and crab salad ( they are all good )"], "output": "[['salmon', 'food quality', 'positive', 'good'], ['crab salad', 'food quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["as a retired hipster , i can say with some degree of certainty that for the last year lucky strike has been the best laid - back late night in the city ."], "output": "[['lucky strike', 'restaurant general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the wait staff is pleasant , fun , and for the most part gorgeous ( in the wonderful aesthetic beautification way , not in that she ' s - way - cuter - than - me - that - b @ # $ * way ) ."], "output": "[['wait staff', 'service general', 'positive', 'pleasant'], ['wait staff', 'service general', 'positive', 'fun'], ['wait staff', 'service general', 'positive', 'gorgeous']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food is yummy , especially their cooked - to - perfection mussels in spicy tomato sauce and their shoestring crispy fries ."], "output": "[['food', 'food quality', 'positive', 'yummy'], ['mussels in spicy tomato sauce', 'food quality', 'positive', 'cooked - to - perfection'], ['fries', 'food quality', 'positive', 'cooked - to - perfection']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but the best part about ls is the late night atmosphere , delightfully free of the bts ."], "output": "[['late night atmosphere', 'ambience general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["you can get a completely delish martini in a glass ( that ' s about 2 1 / 2 drinks ) for $ 8 . 50 ( i recommend the vanilla shanty , mmmm ! ) in a great homey setting with great music ."], "output": "[['martini', 'drinks quality', 'positive', 'delish'], ['martini', 'drinks style_options', 'positive', 'delish'], ['martini', 'drinks prices', 'positive', 'delish'], ['vanilla shanty', 'drinks quality', 'positive', 'recommend'], ['setting', 'ambience general', 'positive', 'homey'], ['music', 'ambience general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the in - house lady dj on saturday nights has outrageously good taste in music , and moreover , takes requests ."], "output": "[['in - house lady dj', 'ambience general', 'positive', 'good taste']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["you ca n ' t go wrong with this place ."], "output": "[['place', 'restaurant general', 'positive', \"ca n ' t go wrong\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["suan is a great place that i often take my friends ( classmates ) too ."], "output": "[['suan', 'restaurant general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["its location is good and the fact that hutner college is near and their prices are very reasonable , makes students go back to suan again and again ."], "output": "[['location', 'location general', 'positive', 'good'], ['suan', 'restaurant prices', 'positive', 'reasonable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i love their thai"], "output": "[['thai', 'food quality', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["noodles with shrimp and chicken and coconut juice is the must !"], "output": "[['noodles with shrimp and chicken and coconut juice', 'food quality', 'positive', 'must']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i will go back to suan soon !"], "output": "[['suan', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["in summer - eat outside on a terrace ( another great feature of suan ) ! ! !"], "output": "[['terrace', 'ambience general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i can not imagine a friendlier staff working in a restaurant ."], "output": "[['staff', 'service general', 'positive', 'friendlier']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i can not imagine better indian food in all of the city ."], "output": "[['indian food', 'food quality', 'positive', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i can not imagine you not rushing out to eat there ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["during the course of the past 3 months , the chef and staff changed and it was not for the better ."], "output": "[['chef', 'food quality', 'negative', 'not for the better'], ['staff', 'service general', 'negative', 'not for the better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i wish they would change back to what it was before ."], "output": "[['NULL', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food now is inconsistent ."], "output": "[['food', 'food quality', 'negative', 'inconsistent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is the kind of place you ' d like to take all your friends to and still keep a secret ."], "output": "[['place', 'restaurant miscellaneous', 'positive', 'like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the setting is casual and romantic ."], "output": "[['setting', 'ambience general', 'positive', 'casual'], ['setting', 'ambience general', 'positive', 'romantic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["prices are very good ."], "output": "[['NULL', 'restaurant prices', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food is excellent !"], "output": "[['food', 'food quality', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if you ' re daring , try the balsamic vinegar over icecream , it ' s wonderful !"], "output": "[['balsamic vinegar over icecream', 'food quality', 'positive', 'try'], ['balsamic vinegar over icecream', 'food quality', 'positive', 'wonderful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["they were such a rip - off ( $ 8 . 95 for four small meat patties in steamed buns ) and not worth trying ."], "output": "[['NULL', 'food quality', 'negative', 'not worth'], ['NULL', 'food style_options', 'negative', 'small'], ['NULL', 'food prices', 'negative', 'rip - off']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the rest of the dim sum , though pricey by chinatown standards , is worth it ."], "output": "[['dim sum', 'food prices', 'positive', 'pricey'], ['dim sum', 'food prices', 'positive', 'worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the wait here is long for dim sum , but if you do n ' t like sharing tables or if the typical raucous dim sum atmosphere is not your gig , this is a sleek ( for chinatown ) alternative ."], "output": "[['wait', 'service general', 'negative', 'long'], ['atmosphere', 'ambience general', 'negative', 'NULL'], ['NULL', 'restaurant miscellaneous', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["a few tips : skip the turnip cake , roast pork buns and egg custards ."], "output": "[['turnip cake', 'food quality', 'negative', 'skip'], ['roast pork buns', 'food quality', 'negative', 'skip'], ['egg custards', 'food quality', 'negative', 'skip']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["these are overpriced and you can get better just around the corner :"], "output": "[['NULL', 'food prices', 'negative', 'overpriced'], ['NULL', 'food quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i was pleasantly suprised ."], "output": "[['NULL', 'restaurant general', 'positive', 'pleasantly'], ['NULL', 'restaurant general', 'positive', 'suprised']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food was exceptional ."], "output": "[['food', 'food quality', 'positive', 'exceptional']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i choose to go with one of the special , the braised lamb shank in red wine , which was excellent ."], "output": "[['braised lamb shank in red wine', 'food quality', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the service was friendly and the atmosphere was casual ."], "output": "[['service', 'service general', 'positive', 'friendly'], ['atmosphere', 'ambience general', 'neutral', 'casual']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the restaurant is a bit noisy but that is something that can be overlooked once you sit down and enjoy a great meal"], "output": "[['meal', 'food quality', 'positive', 'enjoy'], ['meal', 'food quality', 'positive', 'great'], ['restaurant', 'ambience general', 'negative', 'noisy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this little place has a cute interior decor and affordable city prices ."], "output": "[['interior decor', 'ambience general', 'positive', 'cute'], ['place', 'restaurant prices', 'positive', 'little']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the pad se ew chicken was delicious , however the pad thai was far too oily ."], "output": "[['pad se ew chicken', 'food quality', 'positive', 'delicious'], ['pad thai', 'food quality', 'negative', 'oily']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["have eaten at ginger house several times , and it ' s always good ."], "output": "[['ginger house', 'restaurant general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the fried dumplings are great !"], "output": "[['fried dumplings', 'food quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["finally a reliable chinese restaurant !"], "output": "[['chinese restaurant', 'restaurant general', 'positive', 'reliable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this place would be so much better served by being run by a group that actually understands customer service ."], "output": "[['customer service', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the only thing you can do here is walk in and eat . . but planning an event , especially a small , intimate one , forget about it ."], "output": "[['NULL', 'restaurant miscellaneous', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["they are not helpful in the least and will give you the grand run around so by the time the event date rolls around you will not only regret chosing this place , but also become hostile !"], "output": "[['NULL', 'service general', 'negative', 'not helpful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["nobody at this restaurant will give firm answers about anything and in the end , not one person takes responsibility for anything ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["terrible , terrible management - deserves to be shut - down ."], "output": "[['management', 'service general', 'negative', 'terrible'], ['management', 'service general', 'negative', 'terrible'], ['NULL', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["never fails to please ."], "output": "[['NULL', 'restaurant general', 'positive', 'please']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["delicious bagels , especially when right out of the oven ."], "output": "[['bagels', 'food quality', 'positive', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["spreads and toppings are great - though a bit pricey ."], "output": "[['spreads', 'food quality', 'positive', 'great'], ['spreads', 'food prices', 'negative', 'pricey'], ['toppings', 'food quality', 'positive', 'great'], ['toppings', 'food prices', 'negative', 'pricey']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["service is fast and friendly ."], "output": "[['service', 'service general', 'positive', 'fast'], ['service', 'service general', 'positive', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["only drawback - they wo n ' t toast your bagel , and they do n ' t make eggs for the bagel ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but that is highly forgivable ."], "output": "[['NULL', 'restaurant miscellaneous', 'positive', 'forgivable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["been there , done that , and new york , it ' s not that big a deal ."], "output": "[['NULL', 'restaurant general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food is decent at best , and the ambience , well , it ' s a matter of opinion , some may consider it to be a sweet thing , i thought it was just annoying ."], "output": "[['food', 'food quality', 'negative', 'decent'], ['ambience', 'ambience general', 'negative', 'annoying']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if celebrities make you sweat , then your in for a ride , but if your like most around these parts then you ' ll just yawn and wonder whats with all the hype ."], "output": "[['NULL', 'restaurant miscellaneous', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["rao is a good restaurant , but it ' s nothing special ."], "output": "[['rao', 'restaurant general', 'neutral', 'good'], ['rao', 'restaurant general', 'neutral', 'nothing special']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but after last night , spice grill is the only place i ' m eating indian cuisine ."], "output": "[['indian cuisine', 'food quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["you must try the shrimp appetizers ."], "output": "[['shrimp appetizers', 'food quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["even my indian friend could n ' t believe how good and tasty everything was ."], "output": "[['NULL', 'food quality', 'positive', 'good'], ['NULL', 'food quality', 'positive', 'tasty']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this place has the the correct ambience and an excellent staff to make you feel like a guest and a friend at the same time ."], "output": "[['ambience', 'ambience general', 'positive', 'correct'], ['staff', 'service general', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great food , great prices , great service ."], "output": "[['food', 'food quality', 'positive', 'great'], ['service', 'service general', 'positive', 'great'], ['NULL', 'restaurant prices', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if you are looking for a good quality , cheap eats - this is the place ."], "output": "[['eats', 'food quality', 'positive', 'good quality'], ['eats', 'food prices', 'positive', 'cheap']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s a perfect place to have a amazing indian food ."], "output": "[['indian food', 'food quality', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i really loved the different and inovated touch that ' s the cheff gives to the food ."], "output": "[['cheff', 'food style_options', 'positive', 'loved'], ['cheff', 'food style_options', 'positive', 'inovated']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["also it ' s great to have dinner in a very romantic and comfortable place , the service it ' s just perfect . . . they ' re so frendly that we never want to live the place !"], "output": "[['service', 'ambience general', 'positive', 'place'], ['service', 'ambience general', 'positive', 'the'], ['just', 'service general', 'positive', \"' re\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["their bagels are fine , but they are a little overcooked , and not really a ' special ' bagel experience ."], "output": "[['bagels', 'food quality', 'negative', 'fine'], ['bagels', 'food quality', 'negative', 'overcooked']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great bagels made the old - fashioned way ."], "output": "[['bagels', 'food quality', 'positive', 'great'], ['bagels', 'food style_options', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["drawbacks : service is slow and they do n ' t toast !"], "output": "[['service', 'service general', 'negative', 'slow']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food was absolutely amazing ! !"], "output": "[['food', 'food quality', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the baked clams octopus we shared as appetizers were the best we ' ve ever had ! !"], "output": "[['baked clams octopus', 'food quality', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the lamb was tender so full of flavor , the dessert was divine ! !"], "output": "[['lamb', 'food quality', 'positive', 'tender'], ['lamb', 'food quality', 'positive', 'full of flavor'], ['dessert', 'food quality', 'positive', 'divine']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the waiter was attentive ."], "output": "[['waiter', 'service general', 'positive', 'attentive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the place itself is beautiful the bar scene seems to be happening ."], "output": "[['place', 'ambience general', 'positive', 'beautiful'], ['bar scene', 'ambience general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["downtown dinner 2002 - prixe fix : appetizers were ok , waiter gave me poor suggestion . . . try the potato stuff kanish best one ."], "output": "[['appetizers', 'food quality', 'neutral', 'ok'], ['waiter', 'service general', 'negative', 'poor'], ['waiter', 'service general', 'negative', 'poor']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["dessert is a joke . . . dont bother"], "output": "[['dessert', 'food quality', 'negative', 'joke']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["volare virgins or weekly regulars , everyone gets treated the same and you ca n ' t ask for more than that when the service is this friendly ."], "output": "[['service', 'service general', 'positive', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the restaurant has a family feel , not least with regard to the portions which are enormous ; the veal alone could have single - handedly solved third world famine ."], "output": "[['restaurant', 'ambience general', 'positive', 'family feel'], ['portions', 'food style_options', 'positive', 'enormous'], ['veal', 'food style_options', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the anti - pasta was excellent , especially the calamari , as were the filling pasta mains ."], "output": "[['anti - pasta', 'food quality', 'positive', 'excellent'], ['calamari', 'food quality', 'positive', 'excellent'], ['pasta mains', 'food quality', 'positive', 'excellent'], ['pasta mains', 'food style_options', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the wine list is extensive and can easily hike up an otherwise reasonably priced meal ."], "output": "[['wine list', 'drinks style_options', 'positive', 'extensive'], ['meal', 'food prices', 'positive', 'reasonably priced']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["still , any quibbles about the bill were off - set by the pour - your - own measures of liquers which were courtesey of the house . . ."], "output": "[['measures of liquers', 'drinks style_options', 'positive', 'pour - your - own'], ['measures of liquers', 'drinks style_options', 'positive', 'courtesey'], ['NULL', 'restaurant prices', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["fantastic place ."], "output": "[['place', 'restaurant general', 'positive', 'fantastic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["a pleasant surprise ."], "output": "[['NULL', 'restaurant general', 'positive', 'pleasant']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["go there to relax and feel like your somewhere else ."], "output": "[['NULL', 'ambience general', 'positive', 'relax']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["lucky strike is a great casual place to just grab a bite to eat ."], "output": "[['lucky strike', 'restaurant general', 'positive', 'great'], ['lucky strike', 'restaurant general', 'positive', 'casual']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great food , great decor , great service ."], "output": "[['food', 'food quality', 'positive', 'great'], ['decor', 'ambience general', 'positive', 'great'], ['service', 'service general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i recommend it !"], "output": "[['NULL', 'restaurant general', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is the perfect spot for meeting friends , having lunch , dinner , pre - theatre or after - theatre drinks !"], "output": "[['spot', 'restaurant miscellaneous', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["( always ask the bartender for the seasonal beer ! ! !"], "output": "[['seasonal beer', 'drinks quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["guaranteed to be a tasty experience ! )"], "output": "[['NULL', 'drinks quality', 'positive', 'tasty']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have been doing all of the above at the heartland brewery for over 5 years now and i have never been disappointed !"], "output": "[['heartland brewery', 'restaurant general', 'positive', 'never been disappointed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["all the people that i bring there go back on their own and bring their friends !"], "output": "[['NULL', 'restaurant miscellaneous', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["go there once and oh yes . . . you will go back . . . you will . . ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["a cool bar with great food , and tons of excellent beer ."], "output": "[['bar', 'ambience general', 'positive', 'cool'], ['food', 'food quality', 'positive', 'great'], ['beer', 'drinks quality', 'positive', 'excellent'], ['beer', 'drinks style_options', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["and even with it ' s pub atmosphere they were great to my kids too !"], "output": "[['NULL', 'service general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["loved it !"], "output": "[['NULL', 'restaurant general', 'positive', 'loved']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the shrimp scampi was excellent and the antipasti were plentiful ."], "output": "[['shrimp scampi', 'food quality', 'positive', 'excellent'], ['antipasti', 'food style_options', 'positive', 'plentiful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is expensive but well worth the money ."], "output": "[['NULL', 'restaurant prices', 'negative', 'expensive'], ['NULL', 'restaurant general', 'positive', 'worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if you venture off the island of manhattan and ca n ' t seem to find a great italian restaurant , drive to corona ."], "output": "[['corona', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the only thing more wonderful than the food ( which is exceptional ) is the service ."], "output": "[['food', 'food quality', 'positive', 'exceptional'], ['service', 'service general', 'positive', 'wonderful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the only thing the waiters do n ' t do for you is wipe your chin when you leave ."], "output": "[['waiters', 'service general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["wonderful at holiday time ."], "output": "[['NULL', 'restaurant miscellaneous', 'positive', 'wonderful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["cozy romantic atomosphere with only around 15 tables at most ."], "output": "[['atomosphere', 'ambience general', 'positive', 'cozy'], ['atomosphere', 'ambience general', 'positive', 'romantic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["food was very good , but not what i would consider out of this world ."], "output": "[['food', 'food quality', 'neutral', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["go here for a romantic dinner but not for an all out wow dining experience ."], "output": "[['NULL', 'ambience general', 'positive', 'romantic'], ['NULL', 'restaurant miscellaneous', 'positive', 'wow']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my friend from milan and myself were pleasantly surprised when we arrived and everyone spoke italian ."], "output": "[['NULL', 'restaurant miscellaneous', 'positive', 'surprised']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["too bad the food was n ' t of the same heritage ."], "output": "[['food', 'food quality', 'negative', 'bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the porcini mushroom pasta special was tasteless , so was the seafood tagliatelle ."], "output": "[['porcini mushroom pasta special', 'food quality', 'negative', 'tasteless'], ['seafood tagliatelle', 'food quality', 'negative', 'tasteless']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["a real dissapointment ."], "output": "[['NULL', 'food quality', 'negative', 'dissapointment']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but that was n ' t the icing on the cake : a tiramisu that resembled nothing i have ever had ."], "output": "[['tiramisu', 'food quality', 'negative', 'nothing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["they should have called it mascarpone with chocolate chips - good but a far cry from what the name implies ."], "output": "[['NULL', 'food quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["priced at upper intermediate range ."], "output": "[['NULL', 'restaurant prices', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it was pretty inexpensive too ."], "output": "[['NULL', 'restaurant prices', 'positive', 'inexpensive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this place has the best chinese style bbq ribs in the city ."], "output": "[['bbq ribs', 'food quality', 'positive', 'best'], ['bbq ribs', 'food style_options', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s great to go for a quick lunch either alone or with a friend ."], "output": "[['NULL', 'restaurant miscellaneous', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s definately not a place to go if you want to impress someone ."], "output": "[['place', 'restaurant miscellaneous', 'negative', 'impress']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["however , if you want great food at a great price and do n ' t mind the decor , you ca n ' t beat this place ."], "output": "[['food', 'food quality', 'positive', 'great'], ['food', 'food prices', 'positive', 'great'], ['decor', 'ambience general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["quick and friendly service ."], "output": "[['service', 'service general', 'positive', 'quick'], ['service', 'service general', 'positive', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is one of the best comfort food places in the city ."], "output": "[['NULL', 'restaurant general', 'positive', 'best'], ['NULL', 'restaurant general', 'positive', 'comfort']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s somewhere you can eat and be happy ."], "output": "[['NULL', 'restaurant general', 'positive', 'happy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["when you ' re sitting in their main dining room ( which has a spectacular , hand - painted high ceiling ) you ' d never know there was a world outside ."], "output": "[['main dining room', 'ambience general', 'positive', 'NULL'], ['ceiling', 'ambience general', 'positive', 'spectacular'], ['ceiling', 'ambience general', 'positive', 'hand - painted high']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food is wonderful , tasty and filling , and the service is professional and friendly ."], "output": "[['food', 'food quality', 'positive', 'wonderful'], ['food', 'food quality', 'positive', 'tasty'], ['food', 'food style_options', 'positive', 'filling'], ['service', 'service general', 'positive', 'professional'], ['service', 'service general', 'positive', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ca n ' t wait for summer , when they serve outside on their gigantic patio ."], "output": "[['patio', 'ambience general', 'positive', 'gigantic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this little place definitely exceeded my expectations and you sure get a lot of food for your money ."], "output": "[['food', 'food style_options', 'positive', 'NULL'], ['food', 'food prices', 'positive', 'NULL'], ['place', 'restaurant general', 'positive', 'exceeded my expectations']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the service was fast and friendly and the food was very tasty and they had the best hot sauce to add to your meals ."], "output": "[['service', 'service general', 'positive', 'fast'], ['service', 'service general', 'positive', 'friendly'], ['food', 'food quality', 'positive', 'tasty'], ['hot sauce', 'food quality', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have to say that i am pleasantly suprised and i will most likely stop in again if i am in the neighborhood ."], "output": "[['NULL', 'restaurant general', 'positive', 'pleasantly suprised']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["they all know you ."], "output": "[['NULL', 'service general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["good food ."], "output": "[['food', 'food quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["good drink ."], "output": "[['drink', 'drinks quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["how do you rate home ?"], "output": "[['NULL', 'restaurant miscellaneous', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have never had cheescake like this ."], "output": "[['cheescake', 'food quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i thought i had died and gone to heaven ."], "output": "[['NULL', 'food quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great spot , whether looking for a couple of drinks or quiet dinner ."], "output": "[['spot', 'restaurant general', 'positive', 'great'], ['spot', 'restaurant miscellaneous', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["warm and friendly in the winter and terrific outdoor seating in the warmer months ."], "output": "[['outdoor seating', 'ambience general', 'positive', 'terrific'], ['NULL', 'ambience general', 'positive', 'warm'], ['NULL', 'ambience general', 'positive', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food is great and they have a good selection of wines at reasonable prices ."], "output": "[['food', 'food quality', 'positive', 'great'], ['wines', 'drinks style_options', 'positive', 'good selection'], ['wines', 'drinks prices', 'positive', 'reasonable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we were less than impressed ."], "output": "[['NULL', 'restaurant general', 'negative', 'less than impressed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["while the ambiance and atmosphere were great , the food and service could have been a lot better ."], "output": "[['ambiance', 'ambience general', 'positive', 'great'], ['atmosphere', 'ambience general', 'positive', 'great'], ['food', 'food quality', 'negative', 'could have been a lot better'], ['service', 'service general', 'negative', 'could have been a lot better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we ordered the chicken casserole , but what we got were a few small pieces of chicken , all dark meat and on the bone ."], "output": "[['chicken casserole', 'food quality', 'negative', 'NULL'], ['chicken casserole', 'food style_options', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["probably would not go again . . ."], "output": "[['NULL', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve been to sapphire twice and both times the food was fine , if not good ."], "output": "[['food', 'food quality', 'positive', 'fine']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["stick with the chicken , beef , and lamb dishes ."], "output": "[['chicken', 'food quality', 'positive', 'stick'], ['beef', 'food quality', 'positive', 'stick'], ['lamb dishes', 'food quality', 'positive', 'stick']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["service is friendly , and never had a problem walking in and getting a table ."], "output": "[['service', 'service general', 'positive', 'friendly'], ['NULL', 'restaurant miscellaneous', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["skip dessert ."], "output": "[['dessert', 'food quality', 'negative', 'skip']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["best reuben sandwich ever !"], "output": "[['reuben sandwich', 'food quality', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["a classic !"], "output": "[['NULL', 'food quality', 'positive', 'classic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["do n ' t miss bloom ' s on your next trip to manhatten ."], "output": "[[\"bloom ' s\", 'restaurant general', 'negative', \"n ' t miss\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it was the first place we ate on our first trip to new york , and it will be the last place we stop as we head out of town on our next trip to new york ."], "output": "[['place', 'restaurant miscellaneous', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["thanks bloom ' s for a lovely trip ."], "output": "[[\"bloom ' s\", 'restaurant general', 'positive', 'lovely']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food was not fresh , the sauces were bland and very oily ."], "output": "[['food', 'food quality', 'negative', 'not fresh'], ['sauces', 'food quality', 'negative', 'bland'], ['sauces', 'food quality', 'negative', 'oily']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it just was n ' t thai ."], "output": "[['NULL', 'food quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["was surprisingly disappointed ."], "output": "[['NULL', 'food quality', 'negative', 'disappointed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["pizza was a little soggy ."], "output": "[['pizza', 'food quality', 'negative', 'soggy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["ravioli was good . . . but i have to say that i found everything a bit overpriced ."], "output": "[['ravioli', 'food quality', 'positive', 'good'], ['NULL', 'food prices', 'negative', 'overpriced']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["not enough wines by the glass either ."], "output": "[['wines by the glass', 'drinks style_options', 'negative', 'not enough']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["service , however , was excellent . . . and i liked the setting / atmosphere a lot ."], "output": "[['service', 'service general', 'positive', 'excellent'], ['setting / atmosphere', 'ambience general', 'positive', 'liked']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["food was just average . . . if they lowered the prices just a bit , it would be a bigger draw ."], "output": "[['food', 'food quality', 'neutral', 'average'], ['NULL', 'restaurant prices', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["authentic pakistani food ."], "output": "[['pakistani food', 'food quality', 'positive', 'authentic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["just straight up cheap , good food ."], "output": "[['food', 'food quality', 'positive', 'good'], ['food', 'food prices', 'positive', 'cheap']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["faan is sooo good ."], "output": "[['faan', 'restaurant general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the design and atmosphere is just as good ."], "output": "[['design', 'ambience general', 'positive', 'good'], ['atmosphere', 'ambience general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["bottles of wine are cheap and good ."], "output": "[['bottles of wine', 'drinks prices', 'positive', 'cheap'], ['bottles of wine', 'drinks quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["what more could you want ?"], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food was actually aweful ."], "output": "[['food', 'food quality', 'negative', 'aweful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m not picky - but it was actually gross ."], "output": "[['NULL', 'food quality', 'negative', 'gross']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the mussles were the fishiest things i ' ve ever tasted , the seabass was bland , the goat cheese salad was missing the goat cheese , the penne w / chicken had bones in it . . . it was disgusting ."], "output": "[['mussles', 'food quality', 'negative', 'fishiest'], ['seabass', 'food quality', 'negative', 'bland'], ['goat cheese salad', 'food quality', 'negative', 'missing'], ['penne w / chicken', 'food quality', 'negative', 'disgusting'], ['NULL', 'food quality', 'negative', 'disgusting']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["nice atmosphere , the service was very pleasant and the desert was good ."], "output": "[['atmosphere', 'ambience general', 'positive', 'nice'], ['service', 'service general', 'positive', 'pleasant'], ['desert', 'food quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is the perfect date spot for williamsburg couples ."], "output": "[['NULL', 'restaurant miscellaneous', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the jukebox plays everything from italian opera to the strokes ."], "output": "[['jukebox', 'ambience general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food is amazing , rich pastas and fresh doughy pizza ."], "output": "[['food', 'food quality', 'positive', 'amazing'], ['pastas', 'food style_options', 'positive', 'rich'], ['pizza', 'food quality', 'positive', 'fresh'], ['pizza', 'food quality', 'positive', 'doughy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["best of all is the warm vibe , the owner is super friendly and service is fast ."], "output": "[['vibe', 'ambience general', 'positive', 'warm'], ['owner', 'service general', 'positive', 'friendly'], ['service', 'service general', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if only they delivered , they ' d make a mint !"], "output": "[['NULL', 'restaurant miscellaneous', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["go here for the drinks !"], "output": "[['drinks', 'drinks quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the drinks are amazing and half off till 8pm ."], "output": "[['drinks', 'drinks quality', 'positive', 'amazing'], ['drinks', 'drinks prices', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my fav was the sassy lassi . . ."], "output": "[['sassy lassi', 'drinks quality', 'positive', 'fav']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is an amazing place to try some roti rolls ."], "output": "[['roti rolls', 'food quality', 'positive', 'try']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i really recommend the very simple unda ( egg ) rolls ."], "output": "[['unda ( egg ) rolls', 'food quality', 'positive', 'recommend'], ['unda ( egg ) rolls', 'food quality', 'positive', 'simple']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["delicate spices , onions , eggs and a kick - ass roti ."], "output": "[['spices', 'food quality', 'positive', 'delicate'], ['onions', 'food quality', 'positive', 'delicate'], ['eggs', 'food quality', 'positive', 'delicate'], ['roti', 'food quality', 'positive', 'kick - ass']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["amazing !"], "output": "[['NULL', 'food quality', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["toons has recently been redone , so it ' s now a very attractive space ."], "output": "[['toons', 'ambience general', 'positive', 'attractive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["in an area sadly lacking in decent thai food , this is one of the best spots ."], "output": "[['thai food', 'food quality', 'positive', 'decent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["went here last night - nice decor , good service , but the food was surprisingly excellent ."], "output": "[['decor', 'ambience general', 'positive', 'nice'], ['service', 'service general', 'positive', 'good'], ['food', 'food quality', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the portions are huge , so it might be good to order three things to split ( rather than one appetizer and entree per person ) for two people ."], "output": "[['portions', 'food style_options', 'neutral', 'huge']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["ca n ' t wait to go back ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["beef noodle soup is good as well ."], "output": "[['beef noodle soup', 'food quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the service is good and the resturant is clean ."], "output": "[['service', 'service general', 'positive', 'good'], ['resturant', 'ambience general', 'positive', 'clean']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["best taiwanese food in ny !"], "output": "[['taiwanese food', 'food quality', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have been to rao ' s probably 15 times the past 3 years and it keeps getting better ."], "output": "[[\"rao ' s\", 'restaurant general', 'positive', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["rao ' s has the best service and atmosphere in nyc ."], "output": "[['service', 'service general', 'positive', 'best'], ['atmosphere', 'ambience general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["good luck getting a table ."], "output": "[['NULL', 'restaurant miscellaneous', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my roommate and i love this place ."], "output": "[['place', 'restaurant general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we recently decided to try this location , and to our delight , they have outdoor seating , perfect since i had my yorkie with me ."], "output": "[['outdoor seating', 'ambience general', 'positive', 'delight'], ['outdoor seating', 'ambience general', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["indoor was very cozy and cute ."], "output": "[['indoor', 'ambience general', 'positive', 'cozy'], ['indoor', 'ambience general', 'positive', 'cute']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the portion sizes here are huge , and the sushi is good ."], "output": "[['portion sizes', 'food style_options', 'positive', 'huge'], ['sushi', 'food quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["staff is very accomodating ."], "output": "[['staff', 'service general', 'positive', 'accomodating']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["excellent dumplings served amid clean , chic decor ."], "output": "[['dumplings', 'food quality', 'positive', 'excellent'], ['decor', 'ambience general', 'positive', 'clean'], ['decor', 'ambience general', 'positive', 'chic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i got the $ 10 10 - piece dim sum combo , every bite of which was great ."], "output": "[['$ 10 10 - piece dim sum combo', 'food quality', 'positive', 'i']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but $ 1 for each small piece ? ? ?"], "output": "[['NULL', 'food prices', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i wo n ' t go back unless someone else is footing the bill ."], "output": "[['NULL', 'restaurant prices', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the decor is very simple but comfortable ."], "output": "[['decor', 'ambience general', 'positive', 'simple'], ['decor', 'ambience general', 'positive', 'comfortable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food was delicious but do not come here on a empty stomach ."], "output": "[['food', 'food quality', 'negative', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the portions are small but being that the food was so good makes up for that ."], "output": "[['portions', 'food style_options', 'negative', 'small'], ['food', 'food quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["you must have the crabmeat lasagna which is out of this world and the chocolate bread pudding for dessert ."], "output": "[['crabmeat lasagna', 'food quality', 'positive', 'out of this world'], ['chocolate bread pudding', 'food quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the staff there is very attentive and down to earth ."], "output": "[['staff', 'service general', 'positive', 'attentive'], ['staff', 'service general', 'positive', 'down to earth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i loved it and would go again ."], "output": "[['NULL', 'restaurant general', 'positive', 'loved']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great indian food and the service is incredible ."], "output": "[['indian food', 'food quality', 'positive', 'great'], ['service', 'service general', 'positive', 'incredible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the owner truly caters to all your needs ."], "output": "[['owner', 'service general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["when family came in he gave them apps to test their palets , and then ordered for them ."], "output": "[['NULL', 'service general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["everyone was more then happy with his choices ."], "output": "[['NULL', 'service general', 'positive', 'happy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great food and the prices are very reasonable ."], "output": "[['food', 'food quality', 'positive', 'great'], ['NULL', 'restaurant prices', 'positive', 'reasonable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food here does a great service to the name ( cantonese that is . . . ) ."], "output": "[['food', 'food quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i fell in love with the egg noodles in the beef broth with shrimp dumplings and slices of bbq roast pork ."], "output": "[['egg noodles in the beef broth with shrimp dumplings and slices of bbq roast pork', 'food quality', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["try the congee and the donut like deep fried dough they call ow ley soh , a delicious and sweet tasting bread ."], "output": "[['congee', 'food quality', 'positive', 'NULL'], ['ow ley soh', 'food quality', 'positive', 'delicious'], ['ow ley soh', 'food quality', 'positive', 'sweet']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["simply some good tasting chinese food at incredible prices . . ."], "output": "[['chinese food', 'food quality', 'positive', 'good tasting'], ['chinese food', 'food prices', 'positive', 'good tasting']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["service is not what you are coming here for . . ."], "output": "[['service', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["whoever the jazz duo was , they were on point ."], "output": "[['jazz duo', 'ambience general', 'positive', 'on point']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["good music , great food , speedy service affordable prices ."], "output": "[['music', 'ambience general', 'positive', 'good'], ['food', 'food quality', 'positive', 'great'], ['service', 'service general', 'positive', 'speedy'], ['NULL', 'restaurant prices', 'positive', 'affordable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["even the wine by the glass was good ."], "output": "[['wine by the glass', 'drinks quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["its a little out of the way if you do n ' t live in the neighborhood , but definitely worth the trip from wherever you are ."], "output": "[['NULL', 'location general', 'negative', 'NULL'], ['NULL', 'restaurant general', 'positive', 'worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["consistently good japanese tapas ."], "output": "[['japanese tapas', 'food quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["always good drinks and service is pretty good ;"], "output": "[['drinks', 'drinks quality', 'positive', 'good'], ['service', 'service general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["atmosphere is nice and relaxed too . . ."], "output": "[['atmosphere', 'ambience general', 'positive', 'nice'], ['atmosphere', 'ambience general', 'positive', 'relaxed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["a great place to meet up for some food and drinks . . ."], "output": "[['place', 'restaurant miscellaneous', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["yakitori ( bbq meats ) is tasty too ."], "output": "[['yakitori ( bbq meats )', 'food quality', 'positive', 'tasty']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if you do n ' t mind pre - sliced low quality fish , unfriendly staff and a sushi chef that looks like he is miserable then this is your place ."], "output": "[['fish', 'food quality', 'negative', 'low quality'], ['staff', 'service general', 'negative', 'unfriendly'], ['sushi chef', 'restaurant miscellaneous', 'negative', 'miserable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["price and quality of fish alone will keep us from making a return visit ."], "output": "[['NULL', 'restaurant general', 'negative', 'NULL'], ['fish', 'food prices', 'negative', 'NULL'], ['fish', 'food quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["was n ' t going to share but i feel obligated . . . while sitting at the sushi bar dining we watched the chef accidentally drop a piece of unagi on the floor and upon retrieving it from the floor proceed to use the piece in the delivery order he was preparing ."], "output": "[['chef', 'food quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["no thanks ! ! !"], "output": "[['NULL', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this place , which is only a few months old , is perhaps queens ' biggest secret !"], "output": "[['place', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["fabulous decor - makes you feel like you ' re in a trendy manhattan restaurant , very very good food , cheaply - priced , generally friendly staff , and if you ' re a manhattanite , or spend most of your time in manhattan , rice avenue will make you feel at home . . . . . very soho / village / upper west side minus the expensive prices and pretentious clientele . . . . . all on roosevelt avenue !"], "output": "[['decor', 'ambience general', 'positive', 'fabulous'], ['food', 'food quality', 'positive', 'good'], ['food', 'food prices', 'positive', 'cheaply - priced'], ['staff', 'service general', 'positive', 'friendly'], ['rice avenue', 'ambience general', 'positive', 'NULL'], ['rice avenue', 'location general', 'positive', 'NULL'], ['rice avenue', 'restaurant prices', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we were seated outside and the waiter spilled red wine and hot tea on myself and my date ."], "output": "[['waiter', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we were then shooed inside ."], "output": "[['NULL', 'service general', 'negative', 'shooed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["one would think we ' d get an apology or complimentary drinks - instead , we got a snobby waiter would n ' t even take our order for 15 minutes and gave us lip when we asked him to do so ."], "output": "[['waiter', 'service general', 'negative', 'snobby']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we left , never to return ."], "output": "[['NULL', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["with so many good restaurants on the uws , i do n ' t need overpriced food , absurdly arrogant wait - staff who do n ' t recognize they work at a glorified diner , clumsy service , and management that does n ' t care ."], "output": "[['food', 'food prices', 'negative', 'overpriced'], ['wait - staff', 'service general', 'negative', 'arrogant'], ['service', 'service general', 'negative', 'clumsy'], ['management', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i am relatively new to the area and tried pick a bgel on 2nd and was disappointed with the service and i thought the food was overated and on the pricey side ."], "output": "[['service', 'service general', 'negative', 'disappointed'], ['food', 'food prices', 'negative', 'pricey'], ['food', 'food quality', 'negative', 'overated']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["baluchi ' s has solid food and a nice decor at reasonable prices ."], "output": "[[\"baluchi ' s\", 'restaurant prices', 'positive', 'reasonable'], ['food', 'food quality', 'positive', 'solid'], ['decor', 'ambience general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the only problem is that the manager is a complete incompetent ."], "output": "[['manager', 'service general', 'negative', 'incompetent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["he offers subpar service and has no personality ."], "output": "[['service', 'service general', 'negative', 'subpar']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["in fact , it appears he is going to go postal at any moment ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["there is no excuse for such lousy service !"], "output": "[['service', 'service general', 'negative', 'lousy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have never before eaten 40 pieces of relatively good nigiri ."], "output": "[['nigiri', 'food quality', 'neutral', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["you can do it here ."], "output": "[['NULL', 'food style_options', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["$ 20 for all you can eat sushi can not be beaten ."], "output": "[['all you can eat sushi', 'food prices', 'positive', 'beaten']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i went to areo on a sunday afternoon with four of my girlfriends , and spent three enjoyable hours there ."], "output": "[['areo', 'restaurant general', 'positive', 'enjoyable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["most of the servers are very attentive , friendly and quite attractive ."], "output": "[['servers', 'service general', 'positive', 'attentive'], ['servers', 'service general', 'positive', 'friendly'], ['servers', 'service general', 'positive', 'attractive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the vibe is very relaxed and cozy , service was great and the food was excellent !"], "output": "[['vibe', 'ambience general', 'positive', 'relaxed'], ['vibe', 'ambience general', 'positive', 'cozy'], ['service', 'service general', 'positive', 'great'], ['food', 'food quality', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["food was good and the view of the new york city skiline was terrific even on a foggy rainy day like that of when i went ."], "output": "[['food', 'food quality', 'positive', 'good'], ['view of the new york city skiline', 'location general', 'positive', 'terrific']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i would highly recommand requesting a table by the window ."], "output": "[['table by the window', 'location general', 'positive', 'recommand']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["although they do the typical what kind of water would you like questions the service was good and overall very relaxing to place to eat ."], "output": "[['service', 'service general', 'positive', 'good'], ['place', 'ambience general', 'positive', 'relaxing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["personal pans are the perfect size for those hungry nights ."], "output": "[['personal pans', 'food style_options', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i heartily recommend ."], "output": "[['NULL', 'restaurant general', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["there is a downside if you ' re ordering in - - the delivery guys have major attitude ."], "output": "[['delivery guys', 'service general', 'negative', 'downside']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["never have i had such dramatic delivery guys ( a lot of huffing and panting and muttering under breath b / c i live in a walkup ) who always seem disappointed with their tips ."], "output": "[['delivery guys', 'service general', 'negative', 'dramatic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["love the scene first off - the place has a character and nice light to it . . very fortunate , location wise ."], "output": "[['scene', 'ambience general', 'positive', 'love'], ['place', 'ambience general', 'positive', 'nice'], ['location', 'location general', 'positive', 'fortunate']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the pizza was pretty good and huge ."], "output": "[['pizza', 'food quality', 'positive', 'good'], ['pizza', 'food style_options', 'positive', 'huge']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the price very reasonable ."], "output": "[['NULL', 'restaurant prices', 'positive', 'reasonable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we were 4 and got the family size penne a la vodka which was tremendously gigantic portion . . . a bucket of food literally ."], "output": "[['penne a la vodka', 'food style_options', 'positive', 'gigantic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i would say that all was fine and tasty but the heaviness on my stomach someting that i ca n ' t not mention or undermine ."], "output": "[['NULL', 'food quality', 'negative', 'heaviness']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the pasta penne was pretty extra buttery , creamy which means a big task to diggest . . tasty at first but i would say that i was full with a slice of pizza and 7 to count , penne . . . got a little moody afterwards cause was stuffed . . . lol"], "output": "[['pasta penne', 'food quality', 'negative', 'buttery'], ['pasta penne', 'food style_options', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i love it ."], "output": "[['NULL', 'restaurant general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i plan on stopping by next week as well ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i found it on a cold night , the perfect spot to warm up ."], "output": "[['spot', 'restaurant miscellaneous', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i recieved prompt service with a smile ."], "output": "[['service', 'service general', 'positive', 'prompt']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["to me it exemplifies soho , cute , artsy , interesting ."], "output": "[['NULL', 'ambience general', 'positive', 'cute'], ['NULL', 'ambience general', 'positive', 'artsy'], ['NULL', 'ambience general', 'positive', 'interesting']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["definately check it out ! ! !"], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this place blew me away . . . by far my new favorite restaurant on the uppereast side ."], "output": "[['place', 'restaurant general', 'positive', 'favorite']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the wine list is extensive and impressive ."], "output": "[['wine list', 'drinks style_options', 'positive', 'extensive'], ['wine list', 'drinks style_options', 'positive', 'impressive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["love the atmosphere - felt like i was in paris ."], "output": "[['atmosphere', 'ambience general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the mussels were fantastic and so was the dessert . . . definitely going to be back very soon ."], "output": "[['mussels', 'food quality', 'positive', 'fantastic'], ['dessert', 'food quality', 'positive', 'fantastic'], ['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have been coming here for years and have nothing but good things to say about the service and the great staff at la lanterna ."], "output": "[['service', 'service general', 'positive', 'good'], ['staff', 'service general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["over the years the host , vittorio , and his crew , have always treated me as family - - although with all the business this not - so - little gem does , it amazing he ' s even able to remember a consistent but not - so - frequent visitor ."], "output": "[['host', 'service general', 'positive', 'amazing'], ['crew', 'service general', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve also been amazed at all the new additions in the past few years : a new jazz bar , the most fantastic dining garden , the best thin crust pizzas , and now a lasagna menu which is to die for ( these are not your average lasagnas ) !"], "output": "[['dining garden', 'ambience general', 'positive', 'fantastic'], ['jazz bar', 'ambience general', 'positive', 'new'], ['thin crust pizzas', 'food quality', 'positive', 'best'], ['lasagna menu', 'food quality', 'positive', 'die for']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i love this place !"], "output": "[['place', 'restaurant general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["keep up the good work guys !"], "output": "[['NULL', 'restaurant general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have to say i have never had a disapointing meal here ."], "output": "[['meal', 'food quality', 'positive', 'never had a disapointing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we could have made a meal of the yummy dumplings from the dumpling menu ."], "output": "[['dumplings', 'food quality', 'positive', 'yummy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["luckily we saved room for the bbq salmon , sea bass and crispy duck ."], "output": "[['bbq salmon', 'food quality', 'positive', 'luckily'], ['sea bass', 'food quality', 'positive', 'luckily'], ['crispy duck', 'food quality', 'positive', 'luckily']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["love al di la"], "output": "[['al di la', 'restaurant general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i recommend this place to everyone ."], "output": "[['place', 'restaurant general', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great food ."], "output": "[['food', 'food quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["one of my favorite places in brooklyn ."], "output": "[['NULL', 'restaurant general', 'positive', 'favorite']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the pastas are incredible , the risottos ( particularly the sepia ) are fantastic and the braised rabbit is amazing ."], "output": "[['pastas', 'food quality', 'positive', 'incredible'], ['risottos', 'food quality', 'positive', 'fantastic'], ['sepia', 'food quality', 'positive', 'fantastic'], ['braised rabbit', 'food quality', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overpriced and not tasty"], "output": "[['NULL', 'food prices', 'negative', 'overpriced'], ['NULL', 'food quality', 'negative', 'not tasty']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it was totally overpriced - fish and chips was about $ 15 . . . ."], "output": "[['NULL', 'food prices', 'negative', 'overpriced'], ['fish and chips', 'food prices', 'negative', 'overpriced']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["tasty dog !"], "output": "[['dog', 'food quality', 'positive', 'tasty']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["an awesome organic dog , and a conscious eco friendly establishment ."], "output": "[['dog', 'food quality', 'positive', 'awesome'], ['dog', 'food quality', 'positive', 'organic'], ['establishment', 'restaurant miscellaneous', 'positive', 'eco friendly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["one of the best hot dogs i have ever eaten ."], "output": "[['NULL', 'food quality', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["ca n ' t wait to go back ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but the best pork souvlaki i ever had is the main thing ."], "output": "[['pork souvlaki', 'food quality', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["run do n ' t walk ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["super yummy pizza !"], "output": "[['pizza', 'food quality', 'positive', 'yummy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i was visiting new york city with a friend and we discovered this really warm and inviting restaurant ."], "output": "[['restaurant', 'ambience general', 'positive', 'warm'], ['restaurant', 'ambience general', 'positive', 'inviting']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i looove their eggplant pizza , as well as their pastas !"], "output": "[['eggplant pizza', 'food quality', 'positive', 'looove']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we had half / half pizza , mine was eggplant and my friend had the buffalo and it was sooo huge for a small size pizza !"], "output": "[['half / half pizza', 'food style_options', 'positive', 'huge']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we had fun eating in there , we were there like around 3 a . m . in the morning !"], "output": "[['NULL', 'restaurant general', 'positive', 'fun']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["excellent food , although the interior could use some help ."], "output": "[['food', 'food quality', 'positive', 'excellent'], ['interior', 'ambience general', 'negative', 'help']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great sake !"], "output": "[['sake', 'drinks quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["reliable , fresh sushi"], "output": "[['sushi', 'food quality', 'positive', 'reliable'], ['sushi', 'food quality', 'positive', 'fresh']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the sashimi is always fresh and the rolls are innovative and delicious ."], "output": "[['sashimi', 'food quality', 'positive', 'fresh'], ['rolls', 'food style_options', 'positive', 'innovative'], ['rolls', 'food quality', 'positive', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["have never had a problem with service save a missing rice once ."], "output": "[['service', 'service general', 'positive', 'problem']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["delivery can be spot on or lacking depending on the weather and the day of the week ."], "output": "[['delivery', 'service general', 'negative', 'lacking']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["delivery guy sometimes get upset if you do n ' t tip more than 10 % ."], "output": "[['delivery guy', 'service general', 'negative', 'upset']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["best . sushi . ever ."], "output": "[['sushi', 'food quality', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this place has ruined me for neighborhood sushi ."], "output": "[['sushi', 'food quality', 'positive', 'ruined']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["creative , consistent , fresh ."], "output": "[['NULL', 'food quality', 'positive', 'fresh'], ['NULL', 'food style_options', 'positive', 'creative'], ['NULL', 'food style_options', 'positive', 'consistent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["excellent sashimi , and the millennium roll is beyond delicious ."], "output": "[['sashimi', 'food quality', 'positive', 'excellent'], ['millennium roll', 'food quality', 'positive', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["not cheap but very yummy ."], "output": "[['NULL', 'food prices', 'negative', 'not cheap'], ['NULL', 'food quality', 'positive', 'yummy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very , very nice"], "output": "[['NULL', 'restaurant general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["not only is the food"], "output": "[['NULL', 'restaurant general', 'positive', 'NULL'], ['food', 'food quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["loved it"], "output": "[['NULL', 'restaurant general', 'positive', 'loved']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we had a very nice time ."], "output": "[['NULL', 'restaurant general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the waiter was attentive , the food was delicious and the views of the city were great ."], "output": "[['waiter', 'service general', 'positive', 'attentive'], ['food', 'food quality', 'positive', 'delicious'], ['views of the city', 'location general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' d definitely go back again ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great place to relax and enjoy your dinner"], "output": "[['place', 'ambience general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["there is something about their atmosphere that makes me come back nearly every week ."], "output": "[['atmosphere', 'ambience general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["place is open till late , no dress code ."], "output": "[['place', 'restaurant miscellaneous', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["good food : my favorite is the seafood spaghetti ."], "output": "[['food', 'food quality', 'positive', 'good'], ['seafood spaghetti', 'food quality', 'positive', 'favorite']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["excellent food for great prices"], "output": "[['food', 'food quality', 'positive', 'excellent'], ['food', 'food prices', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my husband and i have been sold on this from the first visit ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the wait staff is very courteous and accomodating ."], "output": "[['wait staff', 'service general', 'positive', 'courteous'], ['wait staff', 'service general', 'positive', 'accomodating']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the space is limited so be prepared to wait up to 45 minutes - 1 hour , but be richly rewarded when you savor the delicious indo - chinese food ."], "output": "[['space', 'ambience general', 'negative', 'limited'], ['indo - chinese food', 'food quality', 'positive', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["there are no negatives to speak of ."], "output": "[['NULL', 'restaurant general', 'positive', 'no negatives']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the bestt !"], "output": "[['NULL', 'restaurant general', 'positive', 'bestt']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my favorite place lol"], "output": "[['place', 'restaurant general', 'positive', 'favorite']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["its alright"], "output": "[['NULL', 'restaurant general', 'neutral', 'alright']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["im not necessarily fanatical about this place , but it was a fun time for low pirces ."], "output": "[['place', 'restaurant general', 'positive', 'fanatical'], ['place', 'restaurant prices', 'positive', 'low']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["lobster was good , nothing spectacular ."], "output": "[['lobster', 'food quality', 'neutral', 'good'], ['lobster', 'food quality', 'neutral', 'nothing spectacular']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["its just a fun place to go , not a five star restaraunt ."], "output": "[['restaraunt', 'restaurant general', 'neutral', 'five star']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["had no flavor and the staff is rude and not attentive ."], "output": "[['staff', 'service general', 'negative', 'rude'], ['staff', 'service general', 'negative', 'not attentive'], ['NULL', 'food quality', 'negative', 'no flavor']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["would never go back"], "output": "[['NULL', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i was n ' t here for the pizza so i ca n ' t comment on that yet but what i had was very good ."], "output": "[['NULL', 'food quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["everyone was smiling so that made me feel welcome ."], "output": "[['NULL', 'service general', 'positive', 'welcome']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ordered the vitello alla marsala and i was pretty impressed ."], "output": "[['vitello alla marsala', 'food quality', 'positive', 'impressed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the veal and the mushrooms were cooked perfectly ."], "output": "[['veal', 'food quality', 'positive', 'perfectly'], ['mushrooms', 'food quality', 'positive', 'perfectly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the potato balls were not dry at all . . . in fact it was buttery ."], "output": "[['potato balls', 'food quality', 'positive', 'not dry'], ['potato balls', 'food quality', 'positive', 'buttery']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the only downside . . . they only take cash which is ok if you know about it ahead of time ."], "output": "[['NULL', 'restaurant miscellaneous', 'negative', 'downside']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ll be back for sure ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["worst place on smith street in brooklyn"], "output": "[['place', 'restaurant general', 'negative', 'worst']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very immature bartender , didnt know how to make specific drinks , service was so slowwwww , the food was not fresh or warm , waitresses were busy flirting with men at the bar and werent very attentive to all the customers ."], "output": "[['bartender', 'service general', 'negative', 'immature'], ['service', 'service general', 'negative', 'slowwwww'], ['food', 'food quality', 'negative', 'not fresh or warm'], ['waitresses', 'service general', 'negative', 'werent very attentive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i would never recommend this place to anybody even for a casual dinner ."], "output": "[['place', 'restaurant general', 'negative', 'never recommend'], ['place', 'restaurant miscellaneous', 'negative', 'never recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["awesome"], "output": "[['NULL', 'restaurant general', 'positive', 'awesome']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food is always fresh . . ."], "output": "[['food', 'food quality', 'positive', 'fresh']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overpriced japanese food with mediocre service"], "output": "[['japanese food', 'food prices', 'negative', 'overpriced'], ['service', 'service general', 'neutral', 'mediocre']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["went here on sat 1 / 26 and was disappointed ."], "output": "[['NULL', 'restaurant general', 'negative', 'disappointed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["food was luke warm ."], "output": "[['food', 'food quality', 'negative', 'luke warm']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i was looking for banana tempura for dessert and they dont have ."], "output": "[['dessert', 'food style_options', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["not because you are ` ` the four seasons ` ` . . . \u2013 you are allowed to charge an arm and a leg for a romatic dinner ."], "output": "[['the four seasons', 'restaurant prices', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food was excellent as well as service , however , i left the four seasons very dissappointed ."], "output": "[['food', 'food quality', 'positive', 'excellent'], ['service', 'service general', 'positive', 'excellent'], ['the four seasons', 'restaurant general', 'negative', 'dissappointed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i do not think dinner in manhattan should cost $ 400 . 00 where i am not swept off my feet ."], "output": "[['dinner', 'food prices', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["red dragon roll - my favorite thing to eat , of any food group - hands down"], "output": "[['red dragon roll', 'food quality', 'positive', 'favorite']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if you do n ' t like it , i do n ' t know what to tell you ."], "output": "[['NULL', 'food quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the seafood dynamite is also otherworldly ."], "output": "[['seafood dynamite', 'food quality', 'positive', 'otherworldly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m not even going to bother to describe it ; it speaks for itself ."], "output": "[['NULL', 'food quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["an unpretentious spot in park slope , the sushi is consistently good , the service is pleasant , effective and unassuming ."], "output": "[['spot', 'ambience general', 'positive', 'unpretentious'], ['sushi', 'food quality', 'positive', 'good'], ['service', 'service general', 'positive', 'pleasant'], ['service', 'service general', 'positive', 'effective'], ['service', 'service general', 'positive', 'unassuming']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["in the summer months , the back garden area is really nice ."], "output": "[['back garden area', 'ambience general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the dancing , white river and millenium rolls are musts ."], "output": "[['dancing , white river and millenium rolls', 'food quality', 'positive', 'musts']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so good"], "output": "[['NULL', 'restaurant general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i can eat here every day of the week really lol love this place . . . )"], "output": "[['place', 'restaurant general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["gross food \u2013 wow -"], "output": "[['food', 'food quality', 'negative', 'gross']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ca n ' t remember the last time i had such gross food in new york ."], "output": "[['food', 'food quality', 'negative', 'gross']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["and $ 11 for a plate of bland guacamole ?"], "output": "[['guacamole', 'food quality', 'negative', 'bland'], ['guacamole', 'food prices', 'negative', 'bland']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["do n ' t get me started on the margaritas , either ."], "output": "[['margaritas', 'drinks quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["mine tasted like the bartender had forgotten to add the tequila ."], "output": "[['NULL', 'drinks quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["oh , and i never write reviews - - i just was so moved by how bad this place was , i felt it was my duty to spread the word ."], "output": "[['place', 'restaurant general', 'negative', 'bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great indian food !"], "output": "[['indian food', 'food quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["when i got there the place was packed but they made sure to seat me quickly ."], "output": "[['NULL', 'service general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food was good , the place was clean and affordable ."], "output": "[['food', 'food quality', 'positive', 'good'], ['place', 'ambience general', 'positive', 'clean'], ['place', 'restaurant prices', 'positive', 'affordable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i noticed alot of indian people eatting there which is a great sign for an indian place !"], "output": "[['indian place', 'restaurant miscellaneous', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is one of my favorite spot , very relaxing the food is great all the times , celebrated my engagement and my wedding here , it was very well organized ."], "output": "[['food', 'food quality', 'positive', 'great'], ['NULL', 'restaurant general', 'positive', 'favorite'], ['NULL', 'ambience general', 'positive', 'relaxing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the staff is very good ."], "output": "[['staff', 'service general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["love their drink menu ."], "output": "[['drink menu', 'drinks style_options', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i highly recommend this beautiful place ."], "output": "[['place', 'ambience general', 'positive', 'recommend'], ['place', 'ambience general', 'positive', 'beautiful'], ['place', 'restaurant general', 'positive', 'recommend'], ['place', 'restaurant general', 'positive', 'beautiful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["nice for one time special occasion ."], "output": "[['NULL', 'restaurant miscellaneous', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["they honored reservation on sunday afternoon very well ."], "output": "[['NULL', 'service general', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we were offered water for the table but were not told the voss bottles of water were $ 8 a piece ."], "output": "[['voss bottles of water', 'drinks prices', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["food was ok ."], "output": "[['food', 'food quality', 'neutral', 'ok']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["nice view of river and nyc ."], "output": "[['view of river and nyc', 'location general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i come here enjoy very much with husband ."], "output": "[['NULL', 'restaurant general', 'positive', 'enjoy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["remind me of home ."], "output": "[['NULL', 'restaurant miscellaneous', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great survice"], "output": "[['survice', 'service general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["mmmmmmmmmmmmmmm so delicious"], "output": "[['NULL', 'food quality', 'positive', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["a beautifully designed dreamy egyptian restaurant that gets sceney at night ."], "output": "[['egyptian restaurant', 'ambience general', 'positive', 'dreamy'], ['egyptian restaurant', 'ambience general', 'positive', 'beautifully']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["watch the talented belly dancers as you enjoy delicious baba ganoush that ' s more lemony than smoky ."], "output": "[['baba ganoush', 'food quality', 'positive', 'enjoy delicious'], ['belly dancers', 'ambience general', 'positive', 'talented']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["oh , and there ' s hookah ."], "output": "[['hookah', 'ambience general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["raymond the bartender rocks !"], "output": "[['raymond', 'service general', 'positive', 'rocks']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["pacifico is a great place to casually hang out ."], "output": "[['pacifico', 'restaurant miscellaneous', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the drinks are great , especially when made by raymond ."], "output": "[['drinks', 'drinks quality', 'positive', 'great'], ['raymond', 'service general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the omlette for brunch is great . . ."], "output": "[['omlette for brunch', 'food quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["quacamole at pacifico is yummy , as are the wings with chimmichuri ."], "output": "[['quacamole', 'food quality', 'positive', 'yummy'], ['wings with chimmichuri', 'food quality', 'positive', 'yummy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["a weakness is the chicken in the salads ."], "output": "[['chicken in the salads', 'food quality', 'negative', 'weakness']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s just average , just shredded , no seasoning on it ."], "output": "[['NULL', 'food quality', 'negative', 'average']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["also , i personally was n ' t a fan of the portobello and asparagus mole ."], "output": "[['portobello and asparagus mole', 'food quality', 'negative', 'fan']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall , decent food at a good price , with friendly people ."], "output": "[['food', 'food quality', 'positive', 'decent'], ['people', 'service general', 'positive', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["best indian restaurant in the city"], "output": "[['indian restaurant', 'restaurant general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this small astoria souvlaki spot makes what many consider the best gyros in new york ."], "output": "[['gyros', 'food quality', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["what really makes it shine is the food , which is aggressively seasoned with cyrpriot spices , and all made in - house ( even the gyro meat and sausages ) , and made of much higher quality ingredients that might otherwise be expected ."], "output": "[['food', 'food quality', 'positive', 'shine'], ['gyro meat', 'food quality', 'positive', 'in - house'], ['sausages', 'food quality', 'positive', 'in - house'], ['ingredients', 'food quality', 'positive', 'higher quality']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["all the various greek and cypriot dishes are excellent , but the gyro is the reason to come - - if you do n ' t eat one your trip was wasted ."], "output": "[['greek and cypriot dishes', 'food quality', 'positive', 'excellent'], ['gyro', 'food quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["best restaurant in brooklyn"], "output": "[['restaurant', 'restaurant general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the best !"], "output": "[['NULL', 'restaurant general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great food , amazing service , this place is a class act ."], "output": "[['food', 'food quality', 'positive', 'great'], ['service', 'service general', 'positive', 'amazing'], ['place', 'restaurant general', 'positive', 'class act']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the veal was incredible last night ."], "output": "[['veal', 'food quality', 'positive', 'incredible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["fresh , mind blowing flavors ."], "output": "[['NULL', 'food quality', 'positive', 'fresh'], ['NULL', 'food quality', 'positive', 'mind blowing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this place is a must visit !"], "output": "[['place', 'restaurant general', 'positive', 'must visit']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["delicious , creative and fun ."], "output": "[['NULL', 'food quality', 'positive', 'delicious'], ['NULL', 'food style_options', 'positive', 'creative'], ['NULL', 'food style_options', 'positive', 'fun']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["got a date ? go here !"], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["every time i have a special occasion with my boyfriend i have a hard time going anywhere else ."], "output": "[['NULL', 'restaurant miscellaneous', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it is so romantic ."], "output": "[['NULL', 'ambience general', 'positive', 'romantic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["its dark , and cozy . . there is always jazz music playing when we go ."], "output": "[['NULL', 'ambience general', 'positive', 'cozy . .'], ['NULL', 'ambience general', 'positive', 'dark']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["most of the booths allow you to sit next to eachother without looking like ' that ' couple ."], "output": "[['booths', 'ambience general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food is all shared so we get to order together and eat together ."], "output": "[['food', 'food style_options', 'positive', 'shared']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve enjoyed 99 % of the dishes we ' ve ordered with the only exceptions being the occasional too - authentic - for - me dish ( i ' m a daring eater but not that daring ) ."], "output": "[['dishes', 'food quality', 'positive', 'enjoyed'], ['dish', 'food quality', 'negative', 'too - authentic - for - me']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["once you try it for a special occasion beware . . you ca n ' t stop !"], "output": "[['NULL', 'restaurant miscellaneous', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["you ' ll be there for every anniversary , birthday , valentines day . . ."], "output": "[['NULL', 'restaurant miscellaneous', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["for a fabulous wedding !"], "output": "[['NULL', 'restaurant miscellaneous', 'positive', 'fabulous']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["everyone raved about the atmosphere ( elegant rooms and absolutely incomparable views ) and the fabulous food !"], "output": "[['atmosphere', 'ambience general', 'positive', 'raved'], ['rooms', 'ambience general', 'positive', 'elegant'], ['views', 'location general', 'positive', 'incomparable'], ['food', 'food quality', 'positive', 'fabulous']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["service was wonderful ;"], "output": "[['service', 'service general', 'positive', 'wonderful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["everyone was cheerfully cooperative and helpful ."], "output": "[['NULL', 'service general', 'positive', 'cheerfully cooperative'], ['NULL', 'service general', 'positive', 'helpful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["paul , the maitre d ' , was totally professional and always on top of things ."], "output": "[['paul', 'service general', 'positive', 'professional']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["thank you everyone at water ' s edge ."], "output": "[[\"water ' s edge\", 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["would not go back ."], "output": "[['NULL', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["service ok but unfriendly , filthy bathroom ."], "output": "[['service', 'service general', 'negative', 'ok'], ['service', 'service general', 'negative', 'unfriendly'], ['bathroom', 'ambience general', 'negative', 'filthy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the bar drinks were eh , ok to say the least ."], "output": "[['bar drinks', 'drinks quality', 'negative', 'ok']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the stuff tilapia was horrid . . . tasted like cardboard ."], "output": "[['stuff tilapia', 'food quality', 'negative', 'horrid']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we thought the dessert would be better , wrong !"], "output": "[['dessert', 'food quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["$ 170 down the toilet . . ."], "output": "[['NULL', 'restaurant general', 'negative', 'NULL'], ['NULL', 'restaurant prices', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["oh speaking of bathroom , the mens bathroom was disgusting ."], "output": "[['mens bathroom', 'ambience general', 'negative', 'disgusting']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the floor was wet , the trash can filled with hand towels n all over the floor , no soap , and no hand towels left ."], "output": "[['NULL', 'ambience general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["good experience"], "output": "[['NULL', 'restaurant general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the wine list was extensive - though the staff did not seem knowledgeable about wine pairings ."], "output": "[['wine list', 'drinks style_options', 'positive', 'extensive'], ['staff', 'service general', 'negative', 'not seem knowledgeable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the bread we received was horrible - rock hard and cold - and the ` ` free ' ' appetizer of olives was disappointing ."], "output": "[['bread', 'food quality', 'negative', 'horrible'], ['bread', 'food quality', 'negative', 'rock hard'], ['bread', 'food quality', 'negative', 'cold'], ['appetizer of olives', 'food quality', 'neutral', 'disappointing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["however , our main course was wonderful ."], "output": "[['main course', 'food quality', 'positive', 'wonderful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i had fish and my husband had the filet - both of which exceeded our expectations ."], "output": "[['fish', 'food quality', 'positive', 'exceeded our expectations'], ['filet', 'food quality', 'positive', 'exceeded our expectations']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the dessert ( we had a pear torte ) was good - but , once again , the staff was unable to provide appropriate drink suggestions ."], "output": "[['pear torte', 'food quality', 'positive', 'good'], ['staff', 'service general', 'negative', 'unable to provide']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["when we inquired about ports - the waitress listed off several but did not know taste variations or cost ."], "output": "[['waitress', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["all in all , i would return - as it was a beautiful restaurant - but i hope the staff pays more attention to the little details in the future ."], "output": "[['restaurant', 'restaurant general', 'positive', 'beautiful'], ['restaurant', 'ambience general', 'positive', 'beautiful'], ['staff', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["short and sweet \u2013 seating is great : it ' s romantic , cozy and private ."], "output": "[['seating', 'ambience general', 'positive', 'short'], ['seating', 'ambience general', 'positive', 'sweet'], ['seating', 'ambience general', 'positive', 'great'], ['seating', 'ambience general', 'positive', 'romantic'], ['seating', 'ambience general', 'positive', 'cozy'], ['seating', 'ambience general', 'positive', 'private']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the boths are not as small as some of the reviews make them out to look they ' re perfect for 2 people ."], "output": "[['boths', 'ambience general', 'positive', 'not as small'], ['boths', 'ambience general', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the service was extremely fast and attentive ( thanks to the service button on your table ) but i barely understood 1 word when the waiter took our order ."], "output": "[['service', 'service general', 'positive', 'fast'], ['service', 'service general', 'positive', 'attentive'], ['service button', 'service general', 'positive', 'thanks to'], ['waiter', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["over all the looks of the place exceeds the actual meals ."], "output": "[['looks', 'ambience general', 'positive', 'exceeds'], ['meals', 'food quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so what you really end up paying for is the restaurant not the food ."], "output": "[['restaurant', 'restaurant prices', 'negative', 'NULL'], ['restaurant', 'ambience general', 'neutral', 'NULL'], ['food', 'food quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["will prob . not return but it is a great dinning experience to try at least once ."], "output": "[['NULL', 'restaurant general', 'negative', 'NULL'], ['NULL', 'restaurant general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["noodle pudding is exactly the type of service and food i enjoy ."], "output": "[['service', 'service general', 'positive', 'enjoy'], ['food', 'food quality', 'positive', 'enjoy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["servers are all different , greg is my favorite ."], "output": "[['greg', 'service general', 'positive', 'favorite']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["sometimes tables do n ' t understand his sense of humor but it ' s refreshing to have a server who has personality , professionalism , and respects the privacy of your dinner ."], "output": "[['server', 'service general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is the first place i ' ve been that a runner remembers my order . . . hope he likes his job because i have half a mind to steal him for my restaurant ."], "output": "[['runner', 'service general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["prices are fair across the board for both food and bev ."], "output": "[['food', 'food prices', 'positive', 'fair'], ['bev', 'drinks prices', 'positive', 'fair']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i go out to eat and like my courses , servers are patient and never rush courses or force another drink ."], "output": "[['servers', 'service general', 'positive', 'patient']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["amazing fresh dogs but best of all endless toppings ! ! !"], "output": "[['dogs', 'food quality', 'positive', 'amazing'], ['dogs', 'food quality', 'positive', 'fresh'], ['toppings', 'food style_options', 'positive', 'best'], ['toppings', 'food style_options', 'positive', 'endless']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this place had all the trimmings and i mean all ."], "output": "[['trimmings', 'food style_options', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["peppers , onions , relish , chilli , cheeses , you name it ."], "output": "[['NULL', 'food style_options', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["amazing fun for hot dog lovers of all ages please do yourself a favor and check this place out ! ! ! !"], "output": "[['hot dog', 'food quality', 'positive', 'amazing fun'], ['place', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["best dining experience in the west village !"], "output": "[['NULL', 'restaurant general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["stepping into casa la femme last night was a true experience unlike any other in new york !"], "output": "[['casa la femme', 'restaurant general', 'positive', 'true']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["highly impressed from the decor to the food to the hospitality to the great night i had !"], "output": "[['decor', 'ambience general', 'positive', 'impressed'], ['food', 'food quality', 'positive', 'impressed'], ['NULL', 'service general', 'positive', 'hospitality'], ['NULL', 'restaurant general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the have a great cocktail with citrus vodka and lemon and lime juice and mint leaves that is to die for !"], "output": "[['cocktail with citrus vodka and lemon and lime juice and mint leaves', 'drinks quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we were drawn into the belly dancing show that captivated the crowd ."], "output": "[['belly dancing show', 'ambience general', 'positive', 'captivated']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i never write on these sites but this restaurant is def worth commending !"], "output": "[['restaurant', 'restaurant general', 'positive', 'worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["maggot in the food !"], "output": "[['food', 'food quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the menu looked great , and the waiter was very nice , but when the food came , it was average ."], "output": "[['menu', 'food style_options', 'positive', 'great'], ['waiter', 'service general', 'positive', 'nice'], ['food', 'food quality', 'neutral', 'average']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["nevertheless , i finished my plate , and that ' s when i found a maggot in mushroom sauce at the bottom ."], "output": "[['mushroom sauce', 'food quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i showed it to the manager , and he smilingly apologized and brought us two free desserts ( but did not ask us what we wanted and so brought the last two desserts we would have asked for ) ."], "output": "[['manager', 'service general', 'negative', 'NULL'], ['manager', 'service general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the manager finally said he would com # # p the two glasses of wine ( which cost less than the food ) , and made it seem like a big concession ."], "output": "[['manager', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we paid and left because we did n ' t feel like arguing any more ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have worked in restaurants and cook a lot , and there is no way a maggot should be able to get into well prepared food ."], "output": "[['food', 'food quality', 'negative', 'well prepared']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["for a restaurant with such a good reputation and that is usually so packed , there was no reason for such a lack of intelligent customer service ."], "output": "[['restaurant', 'restaurant miscellaneous', 'positive', 'good reputation'], ['customer service', 'service general', 'negative', 'intelligent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["unhygienic"], "output": "[['NULL', 'food quality', 'negative', 'unhygienic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i do not recommend ."], "output": "[['NULL', 'restaurant general', 'negative', 'not recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i got hair in my food 2 times of then !"], "output": "[['food', 'food quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great place , great value ."], "output": "[['place', 'restaurant general', 'positive', 'great'], ['place', 'restaurant prices', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food is flavorful , plentiful and reasonably priced ."], "output": "[['food', 'food quality', 'positive', 'flavorful'], ['food', 'food style_options', 'positive', 'plentiful'], ['food', 'food prices', 'positive', 'reasonably']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the atmosphere is relaxed and casual ."], "output": "[['atmosphere', 'ambience general', 'positive', 'relaxed'], ['atmosphere', 'ambience general', 'positive', 'casual']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s a great place to order from or sit - in ."], "output": "[['place', 'restaurant miscellaneous', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["awesome"], "output": "[['NULL', 'restaurant general', 'positive', 'awesome']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["inexpensive , unassuming , great time !"], "output": "[['NULL', 'restaurant prices', 'positive', 'inexpensive'], ['NULL', 'ambience general', 'positive', 'unassuming'], ['NULL', 'restaurant general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["sushi experience was unbelievable with my fiance ."], "output": "[['sushi', 'food quality', 'positive', 'unbelievable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["try it !"], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very pleased"], "output": "[['NULL', 'restaurant general', 'positive', 'pleased']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["good creative rolls !"], "output": "[['rolls', 'food quality', 'positive', 'good'], ['rolls', 'food style_options', 'positive', 'creative']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["yamato is an excellent place to go if youre not into sashimi , or if you have friends who doesnt like sushi much ."], "output": "[['yamato', 'restaurant miscellaneous', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["they have great rolls , the triple color and norwegetan rolls , are awesome and filling ."], "output": "[['rolls', 'food quality', 'positive', 'great'], ['triple color and norwegetan rolls', 'food quality', 'positive', 'awesome'], ['triple color and norwegetan rolls', 'food style_options', 'positive', 'filling']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["one special roll and one regular roll is enough to fill you up , but save room for dessert !"], "output": "[['dessert', 'food quality', 'positive', 'save room'], ['special roll', 'food style_options', 'positive', 'enough'], ['regular roll', 'food style_options', 'positive', 'enough']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["they have a delicious banana chocolate dessert , as well as a great green tea tempura ."], "output": "[['banana chocolate dessert', 'food quality', 'positive', 'delicious'], ['green tea tempura', 'food quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the appetizers are also delicious !"], "output": "[['appetizers', 'food quality', 'positive', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["mazing interior ."], "output": "[['interior', 'ambience general', 'negative', 'mazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great food !"], "output": "[['food', 'food quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ve had my fair share of modern japanese and this spot delivers ."], "output": "[['modern japanese', 'food quality', 'positive', 'delivers']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the atmosphere was pretty nice but had a bit lacking , which it tries to make up for with a crazy scheme of mirrors ."], "output": "[['atmosphere', 'ambience general', 'positive', 'nice'], ['atmosphere', 'ambience general', 'negative', 'lacking'], ['scheme of mirrors', 'ambience general', 'negative', 'crazy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if you ' re into being lost when you ' re just five feet from your table then hey , that ' s a good thing ."], "output": "[['NULL', 'ambience general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["despite the confusing mirrors this will likely be my go - to for modern japanese food for the foreseeable future ."], "output": "[['modern japanese food', 'food quality', 'positive', 'go - to for'], ['mirrors', 'ambience general', 'negative', 'confusing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["indo chinese food , pretty good . . ."], "output": "[['indo chinese food', 'food quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["not a very fancy place but very good chinese style indian food ."], "output": "[['place', 'ambience general', 'neutral', 'fancy'], ['chinese style indian food', 'food quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the chicken lollipop is my favorite , most of the dishes ( i have to agree with a previous reviewer ) are quite oily and very spicy , espeically the chilli chicken ."], "output": "[['chicken lollipop', 'food quality', 'positive', 'favorite'], ['dishes', 'food quality', 'negative', 'oily'], ['dishes', 'food quality', 'negative', 'spicy'], ['chilli chicken', 'food quality', 'negative', 'oily'], ['chilli chicken', 'food quality', 'negative', 'spicy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my mom originally introduced me to this place , but even she ( being indian ) feels the food can be somewhat over the top spicy and far too oily ."], "output": "[['food', 'food quality', 'negative', 'spicy'], ['food', 'food quality', 'negative', 'oily']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["still we keep going back : )"], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i was speechless by the horrible food ."], "output": "[['food', 'food quality', 'negative', 'horrible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i attended a holiday dinner at the restaurant , and the food was majorly disappointing ."], "output": "[['food', 'food quality', 'negative', 'disappointing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i was so stunned , and i left the dinner hungry and majorly disappointing ."], "output": "[['NULL', 'restaurant general', 'negative', 'disappointing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this place survives on reputation alone ."], "output": "[['place', 'restaurant miscellaneous', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i will never return ."], "output": "[['NULL', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["best in all of nyc"], "output": "[['NULL', 'restaurant general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is the most wonderful restaurant in all of new york city , not just brooklyn . . ."], "output": "[['restaurant', 'restaurant general', 'positive', 'wonderful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["for 7 years they have put out the most tasty , most delicious food and kept it that way . . ."], "output": "[['food', 'food quality', 'positive', 'tasty'], ['food', 'food quality', 'positive', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["never swaying , never a bad meal , never bad service . . ."], "output": "[['meal', 'food quality', 'positive', 'never a bad'], ['service', 'service general', 'positive', 'never bad'], ['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["you should travel from the bronx to try it . . ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great food , great wine list , great service in a great neighborhood . . ."], "output": "[['food', 'food quality', 'positive', 'great'], ['wine list', 'drinks style_options', 'positive', 'great'], ['service', 'service general', 'positive', 'great'], ['neighborhood', 'location general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so delicious ! ! ! ! ! !"], "output": "[['NULL', 'food quality', 'positive', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["patsy ' s pizza = true love"], "output": "[[\"patsy ' s pizza\", 'restaurant general', 'positive', 'true love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["hands down the best pizza on the planet ."], "output": "[['pizza', 'food quality', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["in about 12 minutes , the thing is gone ."], "output": "[['NULL', 'food quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the hot dogs were juicy and tender inside and had plenty of crunch and snap on the outside ."], "output": "[['hot dogs', 'food quality', 'positive', 'juicy'], ['hot dogs', 'food quality', 'positive', 'tender']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great toppings definitely a place you need to check out for late night munchies or a mid day boost !"], "output": "[['toppings', 'food quality', 'positive', 'great'], ['place', 'restaurant miscellaneous', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great taste"], "output": "[['NULL', 'food quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great , original taste ."], "output": "[['NULL', 'food quality', 'positive', 'great'], ['NULL', 'food quality', 'positive', 'original']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["for me dishes a little oily , but overall dining experience good ."], "output": "[['dishes', 'food quality', 'negative', 'oily'], ['NULL', 'restaurant general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["helpful service and average price per dish $ 10 ."], "output": "[['service', 'service general', 'positive', 'helpful'], ['dish', 'food prices', 'neutral', 'average']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great food"], "output": "[['food', 'food quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this place has great indian chinese food ."], "output": "[['indian chinese food', 'food quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the flavors are amazing and the value is phenomenal ."], "output": "[['NULL', 'food quality', 'positive', 'amazing'], ['NULL', 'food prices', 'positive', 'phenomenal']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["be prepared to wait , because the place is pretty tiny ."], "output": "[['place', 'restaurant miscellaneous', 'negative', 'tiny'], ['place', 'ambience general', 'negative', 'tiny']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["also , they do not take credit card so come with cash !"], "output": "[['NULL', 'restaurant miscellaneous', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["even though the place is not beautiful , the food speaks for itself ."], "output": "[['place', 'ambience general', 'negative', 'not beautiful'], ['food', 'food quality', 'positive', 'speaks for itself']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["best indian chinese in the city , by far !"], "output": "[['indian chinese', 'food quality', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["amazing my favorite ! ! !"], "output": "[['NULL', 'restaurant general', 'positive', 'favorite'], ['NULL', 'restaurant general', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i came across village underground by accident , now i go there all the time ."], "output": "[['village underground', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the service is amazing , i ' ve had different waiters and they were all nice , which is a rare thing in nyc ."], "output": "[['service', 'service general', 'positive', 'amazing'], ['waiters', 'service general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the dj is awesome , i have been there for my birthday and a bunch of other times with friends and i keep going back ."], "output": "[['dj', 'ambience general', 'positive', 'awesome'], ['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["you can get a table without a reservation if you get there early i they do n ' t make you by bottles ."], "output": "[['NULL', 'service general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["which lets face it . . . . at times it ' s a good thing ."], "output": "[['NULL', 'service general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["in the end you end up with a fair tab and nothing but a great time ! ! !"], "output": "[['NULL', 'restaurant prices', 'positive', 'fair'], ['NULL', 'restaurant general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["highly recommended !"], "output": "[['NULL', 'restaurant general', 'positive', 'recommended']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["one of the best , if not the best , restaurants in park slope ( and ny in general )"], "output": "[['NULL', 'restaurant general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["everything on the menu is great ."], "output": "[['menu', 'food quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this establishment is the real deal ."], "output": "[['establishment', 'restaurant general', 'positive', 'real deal']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["wish ny had more of these kind of places : intimate , superb food , homey , top notch all the way around , certainly worth the wait ."], "output": "[['food', 'food quality', 'positive', 'intimate'], ['food', 'food quality', 'positive', 'superb'], ['NULL', 'ambience general', 'positive', 'homey'], ['NULL', 'restaurant general', 'positive', 'top notch']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but $ 500 for a dinner for two that did n ' t include wine ?"], "output": "[['dinner for two', 'food prices', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["look , the appetizers were really good ."], "output": "[['appetizers', 'food quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the entree was also very good ."], "output": "[['entree', 'food quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["ca n ' t argue about that , but they are clearly over priced ."], "output": "[['NULL', 'food prices', 'negative', 'over priced']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["what you are paying for is the environment and the name ."], "output": "[['environment', 'ambience general', 'neutral', 'NULL'], ['NULL', 'restaurant miscellaneous', 'neutral', 'NULL'], ['NULL', 'restaurant prices', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["yes , the place is classy and beautiful , but they most certainly target the uber whealthy not the common joe that wants to go all out every once in a while ."], "output": "[['place', 'ambience general', 'negative', 'classy'], ['place', 'ambience general', 'negative', 'beautiful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["which of course is not real kobe but wagyu beef ."], "output": "[['NULL', 'food quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["surprised that a place of this caliber would advertise it as kobe ."], "output": "[['NULL', 'restaurant miscellaneous', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["vanison was good but not amazing ."], "output": "[['vanison', 'food quality', 'positive', 'good'], ['vanison', 'food quality', 'neutral', 'not amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["bison was quite excellent however ."], "output": "[['bison', 'food quality', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["dessert : pure disaster ."], "output": "[['dessert', 'food quality', 'negative', 'disaster']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["just not good at all ."], "output": "[['NULL', 'food quality', 'negative', 'not good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["some pineapple covered in a glaze of some kind and some pear tart thing not impressive at all ."], "output": "[['NULL', 'food style_options', 'negative', 'not impressive'], ['NULL', 'food quality', 'negative', 'not impressive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i read reviews that called the restaurant too expensive and i thought to myself , but may be it is worth it ."], "output": "[['restaurant', 'restaurant prices', 'negative', 'expensive'], ['restaurant', 'restaurant general', 'negative', 'expensive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the four seasons has history and it is a sort of landmark of new york city restaurants , but trust me , they will charge you through the nose just so that you can say ` ` i ' ve been to the four seasons restaurant ' ' ."], "output": "[['the four seasons', 'restaurant miscellaneous', 'neutral', 'NULL'], ['the four seasons', 'restaurant prices', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["all in all , the food was great ( except for the dessserts ) ."], "output": "[['food', 'food quality', 'positive', 'great'], ['dessserts', 'food quality', 'negative', 'except']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if you are going for the food , it will not be worth it ."], "output": "[['food', 'food quality', 'negative', 'worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["you would think they would make up for it with service , sadly , no ."], "output": "[['service', 'service general', 'negative', 'sadly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["service was just ok , it is not what you ' d expect for $ 500 ."], "output": "[['service', 'service general', 'negative', 'ok'], ['NULL', 'restaurant prices', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["terrible waste of money . . scammers"], "output": "[['NULL', 'restaurant general', 'negative', 'scammers'], ['NULL', 'restaurant prices', 'negative', 'terrible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i agree that dining at casa la femme is like no other dining experience !"], "output": "[['casa la femme', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i am actually offended to have spent so much money on such a bad experience ."], "output": "[['NULL', 'restaurant general', 'negative', 'bad'], ['NULL', 'restaurant prices', 'negative', 'offended']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i literally just got back home after visiting casa la femme and was so offended by my visit felt it necessary to try and warn other diners who value their money and time ."], "output": "[['casa la femme', 'restaurant general', 'negative', 'offended'], ['casa la femme', 'restaurant prices', 'negative', 'offended']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["our visit their to say the least , was an unpleasant and costly experience !"], "output": "[['NULL', 'restaurant general', 'negative', 'unpleasant'], ['NULL', 'restaurant prices', 'negative', 'costly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["and even more so unpleasant because it was so costly for such an unpleasant experience ."], "output": "[['NULL', 'restaurant general', 'negative', 'unpleasant'], ['NULL', 'restaurant general', 'negative', 'unpleasant'], ['NULL', 'restaurant prices', 'negative', 'costly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we did arrive late for our reservation so i can not complain too much about the wait for a table ."], "output": "[['wait', 'service general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["although we were told 10 - 15 minutes and it was more like 45 minutes ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we were ushered to the bar to wait momentarily and upon arrival were so excited ."], "output": "[['NULL', 'restaurant general', 'positive', 'excited']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the place is beautiful !"], "output": "[['place', 'ambience general', 'positive', 'beautiful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the hostess was very pleasant ."], "output": "[['hostess', 'service general', 'positive', 'pleasant']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["our experience did not ever get any better ."], "output": "[['NULL', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["for each course we waited over 1 / 2 hour to 45 minutes and were never offered a drink ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we also asked for hooka six times and the waiter kept telling us one minute and never returning with the hooka ."], "output": "[['waiter', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["after the 4th time i asked again and the waiter than said after our dinner ."], "output": "[['waiter', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we asked for beverages and never received them ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we asked for sides which the waiter than admitted that he forgot to put in that part of our order ."], "output": "[['waiter', 'service general', 'negative', 'forgot']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my chicken was inedible as there were so many fatty lumps which i had to keep spitting out into my napkin ."], "output": "[['chicken', 'food quality', 'negative', 'inedible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i would not expect this for a $ 55 dinner ."], "output": "[['dinner', 'food quality', 'negative', 'NULL'], ['dinner', 'food prices', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["by the time we finished our dinner we still had not received one beverage nor hooka !"], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["what we did do was waste 3 hours being trapped in a table waiting and waiting for food and drinks and hooka . . some of which we never received !"], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the only beverage we did receive was water in dirty glasses !"], "output": "[['NULL', 'service general', 'negative', 'dirty']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["to top it all off . . the main reason we came to your restaurant was for the belly dancers and missed the first show as we were not seated yet and the 2nd belly dancer only danced at two tables in the back of the restaurant and never made it around to the other half of the restaurant ."], "output": "[['NULL', 'service general', 'negative', 'NULL'], ['NULL', 'restaurant miscellaneous', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["by the time we left our wallets were empty and so were our stomachs and we missed the show we were supposed to see following our dinner , which would have been acceptable if we got to enjoy the experience of good food and belly dancers !"], "output": "[['NULL', 'restaurant prices', 'negative', 'NULL'], ['NULL', 'restaurant miscellaneous', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if it seemed possible to do so while there i would have fought my bill since my dinner portion of my meal was inedible !"], "output": "[['meal', 'food quality', 'negative', 'inedible'], ['NULL', 'restaurant prices', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have never left a restaurant feeling as if i was abused , and wasted my hard earned money ."], "output": "[['restaurant', 'restaurant general', 'negative', 'abused'], ['restaurant', 'restaurant prices', 'negative', 'abused']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my husbands birthday and my sons was not as it was intended . . . and we drove two hours to spend too much money to be treated terribly !"], "output": "[['NULL', 'restaurant general', 'negative', 'NULL'], ['NULL', 'restaurant prices', 'negative', 'NULL'], ['NULL', 'service general', 'negative', 'terribly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i wish i could be refunded !"], "output": "[['NULL', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["do n ' t go with a larger group than 4 !"], "output": "[['NULL', 'restaurant miscellaneous', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["at first we were a little taken aback , as this seemed to present a problem , although the restaurant looked fairly empty , but they hastily put the table together for us ."], "output": "[['NULL', 'service general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the menu is fairly simple without much descriptions ."], "output": "[['menu', 'food style_options', 'neutral', 'simple']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["there was no tap beer that evening , which was a disappointment ."], "output": "[['beer', 'drinks style_options', 'negative', 'disappointment']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["not much of a selection of bottled beer either , we went with brahma ."], "output": "[['selection of bottled beer', 'drinks style_options', 'negative', 'not much']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the appetizers we ordered were served quickly - an order of fried oysters and clams were delicious but a tiny portion ( maybe 3 of each ) ."], "output": "[['fried oysters and clams', 'food quality', 'positive', 'delicious'], ['fried oysters and clams', 'food style_options', 'negative', 'tiny'], ['NULL', 'service general', 'positive', 'quickly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the lobster knuckles ( special of the day ) were ok , but pretty tasteless ."], "output": "[['lobster knuckles', 'food style_options', 'negative', 'ok'], ['lobster knuckles', 'food style_options', 'negative', 'tasteless']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i believe there were 2 shrimp in the ` ` salt encrusted shrimp ' ' appetizer ."], "output": "[[\"` ` salt encrusted shrimp ' ' appetizer\", 'food style_options', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["she replied ` ` well it would be more convenient for us if you ordered now , since you are a larger party , and it might get crowded . ' '"], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food arrived in about 15 minutes ."], "output": "[['NULL', 'service general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i had the thai style fried sea bass . . . which was very good ."], "output": "[['thai style fried sea bass', 'food quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["everyone seemed generally happy with their food , except my brother who had the grilled mahi mahi , seemingly drenched in grapfruit juice !"], "output": "[['food', 'food quality', 'positive', 'happy'], ['grilled mahi mahi', 'food quality', 'negative', 'NULL'], ['grilled mahi mahi', 'food style_options', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i heard the lobster roll was excellent ."], "output": "[['lobster roll', 'food quality', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["they seemed to continue to rush us along , taking plates without asking if we were done ( my sister still had her fork in hand ) ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["all in all the food was good - a little on the expensive side , but fresh ."], "output": "[['food', 'food quality', 'positive', 'good'], ['food', 'food prices', 'negative', 'expensive'], ['food', 'food quality', 'positive', 'fresh']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["service not the friendliest to our ` ` large party ' ' !"], "output": "[['service', 'service general', 'negative', 'not the friendliest']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["probably would not go back here ."], "output": "[['NULL', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great indian food"], "output": "[['indian food', 'food quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["food was amazing - i love indian food and eat it quite regularly , but i can say this is one of the best i ' ve had ."], "output": "[['food', 'food quality', 'positive', 'amazing'], ['food', 'food quality', 'positive', 'love'], ['food', 'food quality', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["very ` ` normal indian food ' ' , but done really well ."], "output": "[['indian food', 'food style_options', 'neutral', 'normal'], ['indian food', 'food quality', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["also , waiters try to push more food on you , like suggest things as if they are complimentary when they actually cost $ ."], "output": "[['waiters', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but if you ' re prepared to spend some $ and remember to ask if something they offer is complimentary , then this is the place to go for indian food"], "output": "[['place', 'restaurant prices', 'negative', 'NULL'], ['indian food', 'food quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["one of the best"], "output": "[['NULL', 'restaurant general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["bukhara grill , the tagline says it all . . ` ` indian spice rave ' '"], "output": "[['bukhara grill', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the lunch buffet is expensive but is deff worth it ."], "output": "[['lunch buffet', 'food prices', 'positive', 'expensive'], ['lunch buffet', 'food prices', 'positive', 'worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we have gone for dinner only a few times but the same great quality and service is given ."], "output": "[['dinner', 'food quality', 'positive', 'great'], ['service', 'service general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["bukhara is on my top 5 indian places in nyc"], "output": "[['bukhara', 'restaurant general', 'positive', 'top']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["wretched and retching"], "output": "[['NULL', 'restaurant general', 'negative', 'wretched'], ['NULL', 'restaurant general', 'negative', 'retching']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have never been so disgusted by both food an service ."], "output": "[['food', 'food quality', 'negative', 'disgusted'], ['service', 'service general', 'negative', 'disgusted']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["for starters they delivered us someone else ' s order ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["however , once i received my predictably mediocre order of what dokebi thinks passes as korean fair , ( sometimes you have to settle when it ' s your only option ) , i got through about half my kimchee before i found a piece of random lettuce accompanied by a far more disgusting , slimy , clearly bad piece of fish skin ."], "output": "[['kimchee', 'food quality', 'negative', 'disgusting'], ['kimchee', 'food quality', 'negative', 'slimy'], ['kimchee', 'food quality', 'negative', 'bad'], ['korean fair', 'food quality', 'negative', 'mediocre']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my main concern was the sanity of the food that was being sent out to myself and others , but i would be lying is i said that as someone who has worked in restaurants since the age of fifteen i was expecting at least a minimal effort on the part of the restaurant to amend the situation ."], "output": "[['food', 'food quality', 'negative', 'NULL'], ['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["none was made so i hung up ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["less than three minutes passed before i found myself doubled over the toilet ."], "output": "[['NULL', 'food quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my girlfriend , being slightly more aggressive , and having been equally disgusted causing her to throw out the remainder of her barely eaten meal , called back only to be informed that i was probably wrong and that it was most likely an oyster , and that we were also blacklisted from their restaurant ."], "output": "[['meal', 'food quality', 'negative', 'disgusted'], ['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it was n ' t as if this restaurant had any major bragging points before hand , but now it ' s simply repulsive ."], "output": "[['restaurant', 'restaurant general', 'negative', 'repulsive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["gorgeous place ideal for a romantic dinner"], "output": "[['place', 'ambience general', 'positive', 'gorgeous'], ['place', 'ambience general', 'positive', 'ideal'], ['place', 'restaurant miscellaneous', 'positive', 'gorgeous'], ['place', 'restaurant miscellaneous', 'positive', 'ideal']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i book a gorgeous white organza tent which included a four course prix fix menu which we enjoyed a lot ."], "output": "[['four course prix fix menu', 'food quality', 'positive', 'enjoyed'], ['white organza tent', 'ambience general', 'positive', 'gorgeous']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i completely recommend casa la femme for any special occasion and to really impress your date ."], "output": "[['casa la femme', 'restaurant miscellaneous', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["more williamsburg garbage"], "output": "[['NULL', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the dishes came out around 5 minutes apart ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the bibimbap was average , but the stone bowl was n ' t even close to sizzling ."], "output": "[['bibimbap', 'food quality', 'neutral', 'average'], ['stone bowl', 'food quality', 'negative', \"n ' t even close to sizzling\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["too bad i had paid an extra $ 2 for the stone bowl ."], "output": "[['stone bowl', 'food prices', 'negative', 'bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the nakgi - bokum was horrible ."], "output": "[['nakgi - bokum', 'food quality', 'negative', 'horrible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["easily the worst stir - fried squid i ' ve ever tasted ."], "output": "[['stir - fried squid', 'food quality', 'negative', 'worst']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the sauce tasted more like chinese fast food than decent korean ."], "output": "[['sauce', 'food quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the side dishes were passable , and i did get a refill upon request ."], "output": "[['side dishes', 'food quality', 'positive', 'passable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the real problem i had with this place was the complete lack of service ."], "output": "[['service', 'service general', 'negative', 'lack of']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["she just nodded and walked off ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["as to my comment about the food , no apology or acknowledgment was made ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my wife had barely touched that mess of a dish ."], "output": "[['dish', 'food quality', 'negative', 'mess']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we were charged full price ."], "output": "[['NULL', 'service general', 'negative', 'full']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["lives up to the hype"], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we ' ve tried before but it always packed and does n ' t take reservations ."], "output": "[['NULL', 'restaurant miscellaneous', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it was well worth the wait ."], "output": "[['NULL', 'restaurant general', 'positive', 'worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the wife had the risotto which was amazing ."], "output": "[['risotto', 'food quality', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it does n ' t look appetizing as it ' s covered in squid ink and it turns your lips and teeth black , but the taste was phenomenal ."], "output": "[['NULL', 'food style_options', 'negative', 'NULL'], ['NULL', 'food quality', 'positive', 'phenomenal']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the farro salad and the mashed yukon potatoes were also extremely tasty ."], "output": "[['farro salad', 'food quality', 'positive', 'tasty'], ['mashed yukon potatoes', 'food quality', 'positive', 'tasty']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i love margherita pizza \u2013 i looove east village pizza"], "output": "[['margherita pizza', 'restaurant general', 'positive', 'love'], ['east village pizza', 'food quality', 'positive', 'looove']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["love this place , every time we are in the city this is one of the places we always go ."], "output": "[['place', 'restaurant general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["a quintessential slice of nyc pizza ."], "output": "[['slice of nyc pizza', 'food quality', 'neutral', 'quintessential']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the crust has a great bite and a good chew , the sauce is light with a nice acidity to it , the salt from the cheese is great , really heightens the flavor of all the other components ."], "output": "[['crust', 'food quality', 'positive', 'great'], ['crust', 'food quality', 'positive', 'good'], ['sauce', 'food quality', 'positive', 'light'], ['sauce', 'food quality', 'positive', 'nice'], ['cheese', 'food quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["personally i like the margherita pizza better , but they are all good ."], "output": "[['margherita pizza', 'food quality', 'positive', 'like'], ['margherita pizza', 'food quality', 'positive', 'good'], ['NULL', 'food quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["possibly the most romantic restaurant in the city"], "output": "[['restaurant', 'ambience general', 'positive', 'romantic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is undoubtedly my favorite modern japanese brasserie ( that don \u2019 t serve sushi ) , and in my opinion , one of the most romantic restaurants in the city !"], "output": "[['modern japanese brasserie', 'restaurant general', 'positive', 'favorite'], ['modern japanese brasserie', 'restaurant general', 'positive', 'romantic'], ['modern japanese brasserie', 'ambience general', 'positive', 'favorite'], ['modern japanese brasserie', 'ambience general', 'positive', 'romantic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["not only is it an adventure getting to this somewhat hidden spot , once you enter the unmarked wooden doors , the zen and intimate decor will make you feel like you \u2019 re no longer in the city ."], "output": "[['spot', 'location general', 'neutral', 'hidden'], ['unmarked wooden doors', 'ambience general', 'positive', 'NULL'], ['decor', 'ambience general', 'positive', 'intimate']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if you \u2019 re planning to come here , make sure that your date is someone whom you really like since you \u2019 ll be ushered to private booths where there will be no people or food watching ( choose the ones on the ground level that have glass ceilings so you may see the stars in the sky ! ) ."], "output": "[['private booths', 'ambience general', 'positive', 'ushered'], ['glass ceilings', 'ambience general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it \u2019 s just you and your date and an occasional cute \u2018 excuse me \u2019 before the waiter opens the little curtain to your booth !"], "output": "[['NULL', 'ambience general', 'positive', 'NULL'], ['waiter', 'service general', 'positive', 'cute']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my party had the bbe $ 29 fixe prix menu , which was such a wonderful deal since it also came with a flight of sake !"], "output": "[['bbe $ 29 fixe prix menu', 'food prices', 'positive', 'NULL'], ['bbe $ 29 fixe prix menu', 'food style_options', 'positive', 'wonderful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we started off with a delightful sashimi amuse bouche ."], "output": "[['sashimi amuse bouche', 'food quality', 'positive', 'delightful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i picked the grilled black cod as my entree , which i absolutely devoured while someone commented that the grilled salmon dish was better ."], "output": "[['grilled black cod', 'food quality', 'positive', 'devoured'], ['grilled salmon dish', 'food quality', 'positive', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the entrees were served with miso soup and rice ."], "output": "[['entrees', 'food style_options', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["for desserts , we tried the frozen black sesame mousse ( interesting but not extraordinary ) and matcha ( powdered green tea ) and blueberry cheesecake , which was phenomenal ."], "output": "[['frozen black sesame mousse', 'food quality', 'neutral', 'interesting'], ['frozen black sesame mousse', 'food quality', 'neutral', 'extraordinary'], ['matcha ( powdered green tea ) and blueberry cheesecake', 'food quality', 'positive', 'phenomenal']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i do n ' t usually visit the same establishment more than once , what more twice , but i ' ll come to zenkichi anytime for a quiet , unhurried and memorable dinner ."], "output": "[['zenkichi', 'ambience general', 'positive', 'quiet'], ['zenkichi', 'ambience general', 'positive', 'unhurried'], ['zenkichi', 'restaurant general', 'positive', 'memorable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["terrible would be a compliment !"], "output": "[['NULL', 'restaurant general', 'negative', 'terrible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the service leaves much to be desired , from feeling like you are rushed the place your order , to being ignored the rest of the night ."], "output": "[['service', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we paid a fixed pricce but got nothing ! !"], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we never ate because by close to 2 in the monring we were not served and were too upset ad tired to start eating ."], "output": "[['NULL', 'service general', 'negative', 'upset'], ['NULL', 'service general', 'negative', 'tired']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["they are extremely rude , not even apologizing for the horrible service we got and handing us a bill well over $ 500 for some drinks adn their pita bread !"], "output": "[['service', 'service general', 'negative', 'horrible'], ['drinks', 'drinks prices', 'negative', 'NULL'], ['pita bread', 'food prices', 'negative', 'NULL'], ['NULL', 'service general', 'negative', 'rude']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["stay away"], "output": "[['NULL', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great shabu shabu"], "output": "[['shabu shabu', 'food quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i love it ."], "output": "[['NULL', 'restaurant general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but for the shabu shabu , you wo n ' t find much better in ny ."], "output": "[['shabu shabu', 'food quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the meat is fresh , the sauces are great , you get kimchi and a salad free with your meal and service is good too ."], "output": "[['meat', 'food quality', 'positive', 'fresh'], ['sauces', 'food quality', 'positive', 'great'], ['kimchi', 'food prices', 'positive', 'free'], ['salad', 'food prices', 'positive', 'free'], ['meal', 'food style_options', 'positive', 'NULL'], ['service', 'service general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["dokebi gives williamsburg the right one - two punch of classic korean food and fusion twists like pork belly tacos ."], "output": "[['korean food', 'food quality', 'positive', 'classic'], ['fusion twists', 'food quality', 'positive', 'NULL'], ['pork belly tacos', 'food quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the hot dogs are good , yes , but the reason to get over here is the fantastic pork croquette sandwich , perfect on its supermarket squishy bun ."], "output": "[['hot dogs', 'food quality', 'positive', 'good'], ['pork croquette sandwich', 'food quality', 'positive', 'fantastic'], ['bun', 'food quality', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["restaurant with a view"], "output": "[['view', 'location general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food tasted very good ."], "output": "[['food', 'food quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the main entree was also very good ."], "output": "[['main entree', 'food quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["price is high but the food is good , so i would come back again ."], "output": "[['food', 'food quality', 'positive', 'good'], ['food', 'food prices', 'negative', 'high'], ['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this place does n ' t make any sense"], "output": "[['place', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["just want to warn you all - do n ' t waste your time and money ."], "output": "[['NULL', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this place has totally weird decor , stairs going up with mirrored walls - i am surprised how no one yet broke their head or fall off the stairs - mirrored walls make you dizzy and delusional . . ."], "output": "[['decor', 'ambience general', 'negative', 'weird'], ['mirrored walls', 'ambience general', 'negative', 'dizzy'], ['mirrored walls', 'ambience general', 'negative', 'delusional']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this place is not inviting and the food is totally weird ."], "output": "[['place', 'ambience general', 'negative', 'not inviting'], ['food', 'food quality', 'negative', 'weird']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the concept of japanese tapas is newly created and clearly does n ' t work ."], "output": "[['japanese tapas', 'food style_options', 'negative', \"does n ' t work\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["good food"], "output": "[['food', 'food quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food was great and tasty , but the sitting space was too small , i do n ' t like being cramp in a corner ."], "output": "[['food', 'food quality', 'positive', 'great'], ['food', 'food quality', 'positive', 'tasty'], ['sitting space', 'ambience general', 'negative', 'too small']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["over all it was a very nice romantic place ."], "output": "[['place', 'restaurant general', 'positive', 'nice'], ['place', 'ambience general', 'positive', 'romantic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["loved it"], "output": "[['NULL', 'restaurant general', 'positive', 'loved']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["a coworker and i tried pacifico after work a few fridays and loved it ."], "output": "[['pacifico', 'restaurant general', 'positive', 'loved']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the atmosphere was great ."], "output": "[['atmosphere', 'ambience general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food we ordered was excellent , although i would n ' t say the margaritas were anything to write home about ."], "output": "[['food', 'food quality', 'positive', 'excellent'], ['margaritas', 'drinks quality', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["our waitress was n ' t mean , but not especially warm or attentive either ."], "output": "[['waitress', 'service general', 'neutral', \"n ' t mean\"], ['waitress', 'service general', 'neutral', 'not especially warm or attentive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i must say i am surprised by the bad reviews of the restaurant earlier in the year , though ."], "output": "[['restaurant', 'restaurant general', 'positive', 'bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["regardless , we ' ll be back and ca n ' t wait to visit in the summer to take advantage of the patio ."], "output": "[['patio', 'ambience general', 'positive', 'NULL'], ['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["dumbfoundingly poor"], "output": "[['NULL', 'restaurant general', 'negative', 'poor']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this was , from start to finish , a mind - bogglingly uncomfortable experience ."], "output": "[['NULL', 'restaurant general', 'negative', 'uncomfortable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["lexicographers take note : a new and fascinating definition of rudeness is alive and flourishing right here in brooklyn ."], "output": "[['NULL', 'service general', 'negative', 'rudeness']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the servers at flatbush farm appear to have perfected that ghastly technique of making you feel guilty and ashamed for deigning to attract their attention ."], "output": "[['servers', 'service general', 'negative', 'perfected']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["polite acknowledgement is out ;"], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["and how many times can you pick up the same perfectly aligned set of napkins , inspect them vapidly and plonk them down in exactly the same place instead of venturing a glance at people who are there to help you make the rent ?"], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["a different server enhanced the fun , dumping our entrees in front of us halfway through our appetizer ( which was delicious ) ."], "output": "[['server', 'service general', 'negative', 'enhanced'], ['appetizer', 'food quality', 'positive', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["overall the food quality was pretty good , though i hear the salmon is much better when it has n ' t sat cooling in front of the guest ."], "output": "[['food', 'food quality', 'positive', 'good'], ['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the place has a nice fit - out , some attractive furnishings and , from what i could tell , a reasonable wine list ( i was given the food menu when i asked for the carte des vins )"], "output": "[['fit - out', 'ambience general', 'positive', 'nice'], ['furnishings', 'ambience general', 'positive', 'attractive'], ['wine list', 'drinks style_options', 'positive', 'reasonable'], ['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["at $ 120 for two people , however , this in no way represents value , unless you ' re looking to pay by the hour for passive - aggressive torture ."], "output": "[['NULL', 'restaurant prices', 'negative', 'NULL'], ['NULL', 'restaurant general', 'negative', 'NULL'], ['NULL', 'service general', 'negative', 'passive - aggressive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["on that scale , it ' s a world - beater ."], "output": "[['NULL', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["how is this palce still open ?"], "output": "[['palce', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i honestly do n ' t even know where to begin ."], "output": "[['NULL', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we arrived and were seated immediately , which made us both happy ."], "output": "[['NULL', 'service general', 'positive', 'happy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["everything was going good until we got our meals ."], "output": "[['meals', 'food quality', 'negative', 'NULL'], ['NULL', 'restaurant general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i took one look at the chicken and i was appalled ."], "output": "[['chicken', 'food style_options', 'negative', 'appalled']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it was served with skin , over a bed of extremely undercooked spinach and mashed potatoes ."], "output": "[['spinach', 'food quality', 'negative', 'undercooked'], ['NULL', 'food style_options', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i took one bite from the $ 24 salmon , and i have never , in the 17 years i have been going to restaurants tasted salmon as fishy , as dry , and as bland as the one in flatbush farms ."], "output": "[['salmon', 'food prices', 'negative', 'NULL'], ['salmon', 'food quality', 'negative', 'fishy'], ['salmon', 'food quality', 'negative', 'dry'], ['salmon', 'food quality', 'negative', 'bland']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["at this point , the waitress comes over and asks us if everything was okay , i was literally so shocked that i was speechless and did n ' t say anything , and guess what , the waitress walked away ."], "output": "[['waitress', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so , i switch with my boyfriend again to see if maybe i could stomach the meat and spinach again , but the spinach was so undercooked that i just could not bite through it ."], "output": "[['spinach', 'food quality', 'negative', 'undercooked']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i could n ' t even enjoy the mashed potatoes because it was hidden completely under the chicken and spinach ."], "output": "[['NULL', 'food style_options', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so i decide to report back to the waitress because it was completely inedible ."], "output": "[['NULL', 'food quality', 'negative', 'inedible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["guess what , i waited for twenty minutes before she came over and when she finally did , she says , ` ` oh well , i wish you would have said something earlier ' ' no apology , nothing ."], "output": "[['NULL', 'service general', 'negative', 'nothing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["after that she simply took our plates , walked away , came back another twenty minutes later with the bill and the chicken on it ! ! ! ! ! ! ! ! ! ! ! !"], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["no desert menu , no apology , nothing ! ! ! ! ! !"], "output": "[['NULL', 'service general', 'negative', 'nothing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this is where it really really gets bad : the manager said , there is absolutely nothing we can do , it ' s a matter of taste that she did n ' t like it , and i can not comp it ."], "output": "[['manager', 'service general', 'negative', 'bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["again , no apology , no is there anything else i can get you , no can i get you a drink to make up for it , nothing ! ! ! !"], "output": "[['NULL', 'service general', 'negative', 'nothing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the level of rudeness was preposterous ."], "output": "[['NULL', 'service general', 'negative', 'preposterous']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the manager came to the table and said we can do what we want , so we paid for what we did enjoy , the drinks and appetizers , and walked out ."], "output": "[['manager', 'service general', 'negative', 'NULL'], ['drinks', 'drinks quality', 'positive', 'enjoy'], ['appetizers', 'food quality', 'positive', 'enjoy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i have never ever had such an unpleasant experience ."], "output": "[['NULL', 'restaurant general', 'negative', 'unpleasant']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this staff should be fired ."], "output": "[['staff', 'service general', 'negative', 'fired']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["cirspy crust margherita pizza"], "output": "[['margherita pizza', 'food quality', 'positive', 'cirspy'], ['margherita pizza', 'food quality', 'positive', 'crust']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it was really good pizza ."], "output": "[['pizza', 'food quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the crust was imazingly cooked well and pizza was fully loaded : ) : ) : )"], "output": "[['crust', 'food quality', 'positive', 'cooked well'], ['pizza', 'food style_options', 'positive', 'fully loaded']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["you know what i mean all the positives things happening there made mw write this review ."], "output": "[['NULL', 'restaurant general', 'positive', 'positives']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' ll being with a couple of positives : cool decor , good pita and hummus , and grilled octopus that was actually pretty tasty ."], "output": "[['decor', 'ambience general', 'positive', 'cool'], ['pita', 'food quality', 'positive', 'good'], ['hummus', 'food quality', 'positive', 'good'], ['grilled octopus', 'food quality', 'positive', 'tasty']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if i could give 0 stars i would do so for this place ."], "output": "[['place', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the reason there are 4 different results on citysearch for the same place is because they keep trying to start a new thread so they can stock it with positive reviews ."], "output": "[['NULL', 'restaurant miscellaneous', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["well . . . they can run but they ca n ' t hide ."], "output": "[['NULL', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this place . . . god where do i begin ."], "output": "[['place', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the decor however seems to be the distraction so you wo n ' t notice that you just payed 300 bucks for some cold eggplant that took 2 frickin hours to come ! ! ! !"], "output": "[['decor', 'ambience general', 'neutral', 'distraction'], ['eggplant', 'food quality', 'negative', 'cold'], ['eggplant', 'food prices', 'negative', 'NULL'], ['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great hot dogs !"], "output": "[['hot dogs', 'food quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the hot dogs are top notch , and they ' re slamwich is amazing !"], "output": "[['hot dogs', 'food quality', 'positive', 'top notch'], ['slamwich', 'food quality', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["going to bark is always worth the train ride , and will make your tongue and belly very happy !"], "output": "[['bark', 'restaurant general', 'positive', 'worth'], ['NULL', 'food quality', 'positive', 'happy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["only complaint is the pricing - - i believe it would be more reasonable to pay a dollar less on each item listed on the menu ."], "output": "[['menu', 'food prices', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["fabulous food - if the front of house staff do n ' t put you off \u2013"], "output": "[['food', 'food quality', 'positive', 'fabulous'], ['front of house staff', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["it ' s a little out of our price range for dining there except on special occasions , but we ' ve eaten there 6 times in the last 2 years ."], "output": "[['NULL', 'restaurant prices', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["each time we ' ve been , the front of house staff ( not the waiters - they ' re fantastic - but the people who greet and seat you ) has been so hideous to us that were it not for the exceptional fish dishes i would never return ."], "output": "[['waiters', 'service general', 'positive', 'fantastic'], ['front of house staff', 'service general', 'negative', 'hideous'], ['fish dishes', 'food quality', 'positive', 'exceptional']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["as bfc does n ' t take reservations you almost always have to wait by the bar - and be abused by the front of house staff until you are seated , which can be over an hour later !"], "output": "[['bfc', 'restaurant miscellaneous', 'negative', 'NULL'], ['front of house staff', 'service general', 'negative', 'abused'], ['NULL', 'service general', 'negative', 'abused']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the frizzy retro girl ( with winged / dame edna glasses ) will yell at you if you try to order a drink ."], "output": "[['girl', 'service general', 'negative', 'frizzy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i was almost amused by the fact that she was turning away customers at 9pm on a friday night because she ` ` had a bbq to go to ' ' that night - wtf ? ?"], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' d be horrified if my staff were turning away customers so early and so rudely !"], "output": "[['staff', 'service general', 'negative', 'horrified']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["there ' s another girl who i ca n ' t describe , she is about 5 ' 6 ' ' with brown hair , who eavesdrops on your conversation and chimes in - except she only hears the last part of what you said , so her uninvited opinions are often out of context and nothing to do with what you ' re * really * talking about ."], "output": "[['girl', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ' m a friendly person , so i would n ' t mind had she not been so nasty and gotten so personal ."], "output": "[['NULL', 'service general', 'negative', 'nasty']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["again , i ' d be super upset if that were my employee ."], "output": "[['NULL', 'service general', 'negative', 'upset']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["considering you will spend at least $ 60 a head , i expect better service ."], "output": "[['service', 'service general', 'negative', 'expect better'], ['NULL', 'restaurant prices', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so , if you ' re walking by and thinking about dining , you might want to see who ' s going to be seating you first . . ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["maitre - d - ' ' eat and get out ' '"], "output": "[['maitre - d', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["while finishing our meals which included a high - end bottle of wine , our son ' s fiance joined us for a glass of wine and dessert ."], "output": "[['bottle of wine', 'drinks quality', 'positive', 'high - end']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["this guy refused to seat her and she left , followed shortly by the four of us , but not before i told him that in my 40 years of world travel , including paris , that i had never seen such a display of bad behavior by a frontman in a restaurant ."], "output": "[['frontman', 'service general', 'negative', 'bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["his response was smug , arrogant , and condescending , totally consistent with his deportment on display all evening ."], "output": "[['NULL', 'service general', 'negative', 'smug'], ['NULL', 'service general', 'negative', 'arrogant'], ['NULL', 'service general', 'negative', 'condescending']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["if you go here , do it on his off - night ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["best meal in a long time !"], "output": "[['meal', 'food quality', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["mussles and calamari were superb saturday evening ."], "output": "[['mussles', 'food quality', 'positive', 'superb'], ['calamari', 'food quality', 'positive', 'superb']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["my father had the flank steak which was very good , and my mother had the swordfish ."], "output": "[['flank steak', 'food quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the four seasons restaurant is a great experience ."], "output": "[['the four seasons restaurant', 'restaurant general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food is great and the environment is even better ."], "output": "[['food', 'food quality', 'positive', 'great'], ['environment', 'ambience general', 'positive', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["everyone must come here at least once ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["highly recommend it !"], "output": "[['NULL', 'restaurant general', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["taking hot dogs to the next level"], "output": "[['hot dogs', 'food quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["at first glance this place seems a bit pricey for a hot dog joint , but at bark you do n ' t just get your average hot dog ."], "output": "[['hot dog', 'food quality', 'positive', 'NULL'], ['bark', 'restaurant prices', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["here the hot dog is elevated to the level of a real entree with numerous variations available ."], "output": "[['hot dog', 'food quality', 'positive', 'elevated'], ['hot dog', 'food style_options', 'positive', 'numerous']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["great atmosphere"], "output": "[['atmosphere', 'ambience general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i highly recommend the fish tacos , everything else was ok ."], "output": "[['fish tacos', 'food quality', 'positive', 'recommend'], ['NULL', 'food quality', 'neutral', 'ok']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["cool atmosphere , the fire place in the back really ads to it but needs a bit more heat throughout on a cold night ."], "output": "[['atmosphere', 'ambience general', 'positive', 'cool'], ['fire place', 'ambience general', 'positive', 'NULL'], ['NULL', 'ambience general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["poor service and management"], "output": "[['service', 'service general', 'negative', 'poor'], ['management', 'service general', 'negative', 'poor']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["had an awful experience at casa la femme on a saturday dinner ."], "output": "[['casa la femme', 'restaurant general', 'negative', 'awful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["appetizers took nearly an hour ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["never got an explanation as to what was going on ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the manager was rude and handled the situation extremely poorly ."], "output": "[['manager', 'service general', 'negative', 'rude'], ['manager', 'service general', 'negative', 'poorly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["on the way out , we heard of other guests complaining about similar issues ."], "output": "[['NULL', 'service general', 'negative', 'complaining']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["can \u2019 t believe how an expensive nyc restaurant can be so disrespectful to its clients ."], "output": "[['restaurant', 'restaurant prices', 'negative', 'expensive'], ['NULL', 'service general', 'negative', 'disrespectful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["what a hassle !"], "output": "[['NULL', 'restaurant general', 'negative', 'hassle']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the food is very good , but not outstanding ."], "output": "[['food', 'food quality', 'positive', 'good'], ['food', 'food quality', 'neutral', 'not outstanding']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["there is no way it justifies the accolades it receives , the attitude of the staff or the wait for a table ."], "output": "[['staff', 'service general', 'negative', 'NULL'], ['wait', 'service general', 'negative', 'NULL'], ['NULL', 'food quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["on our last visit , they skipped over our name on the list , leaving us waiting an extra hour for a table ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["mistakes happen , but they are usually accompanied by an apology , perhaps even a glass of wine . . . but not the grunt that we received from the al di la staff ."], "output": "[['staff', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["expensive"], "output": "[['NULL', 'restaurant prices', 'negative', 'expensive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the pasta was well cooked , did n ' t have enough sauce though or flavor ."], "output": "[['pasta', 'food quality', 'negative', 'well cooked']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["so rude ! ! !"], "output": "[['NULL', 'service general', 'negative', 'rude']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i was one of the people that went for this horrible experience ."], "output": "[['NULL', 'restaurant general', 'negative', 'horrible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the hostess was rude and i got a distinct feeling that they did not want to serve us ."], "output": "[['hostess', 'service general', 'negative', 'rude'], ['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the only thing that my friend left out is that when we sat down at the bar the bartender disappeared ."], "output": "[['bartender', 'service general', 'negative', 'disappeared']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i asked for a menu and the same waitress looked at my like i was insane ."], "output": "[['waitress', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i was shocked that my friends wanted to stay after the waitress said , ` ` can i help you ' ' and ` ` how many are in your party . ' '"], "output": "[['waitress', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the three of us standing in front of her should have been an indication of how many of us there were ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["we did n ' t look like the other patrons in there so unfortunately i think that may have been part of the problem ."], "output": "[['NULL', 'restaurant miscellaneous', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["bad staff"], "output": "[['staff', 'service general', 'negative', 'bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i generally like this place ."], "output": "[['place', 'restaurant general', 'positive', 'like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the design of the space is good ."], "output": "[['space', 'ambience general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["but the service is horrid !"], "output": "[['service', 'service general', 'negative', 'horrid']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i was there for brunch recently , and we were tag teamed by a waitress and a waiter ."], "output": "[['waitress', 'service general', 'negative', 'teamed'], ['waiter', 'service general', 'negative', 'teamed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the waiter delivered our food while holding what appeared to be a plastic bag of garbage in one hand ."], "output": "[['waiter', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i ca n ' t believe that it was , but please put the bag down before delivering food !"], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["the waitress came to check in on us every few minutes , and began to clear the plates while half of us were still eating ( a big pet peeve of mine that happens almost everywhere , so i try to ignore it ) ."], "output": "[['waitress', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i could n ' t ignore the fact that she reach over the plate of one of my friends , who was in mid bite , to clear the table ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["she then put the check down without asking if we were done , and came to check on the bill every two minutes , even though we were one of three occupied tables ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} {"task_type": "generation", "dataset": "acos", "input": ["i wish i could like this place more , and i wish someone would retrain the staff ."], "output": "[['place', 'restaurant general', 'negative', 'NULL'], ['staff', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "}