diff --git "a/Generation/dev.jsonl" "b/Generation/dev.jsonl" new file mode 100644--- /dev/null +++ "b/Generation/dev.jsonl" @@ -0,0 +1,497 @@ +{"task_type": "generation", "dataset": "acos", "input": ["this unit is ` ` pretty ` ` and stylish , so my high school daughter was attracted to it for that reason ."], "output": "[['unit', 'laptop design_features', 'positive', 'pretty'], ['unit', 'laptop design_features', '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": ["for now i ' m okay with upping the experience & device to 3 out of 5 stars ."], "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": ["seems unlikely but whatever , i ' ll go with it ."], "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": ["this version has been my least favorite version i ' ve had for the following reasons listed bellow the pros ."], "output": "[['version', 'laptop general', 'negative', 'least 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": ["- biggest disappointment is the track pad ."], "output": "[['track pad', 'hardware 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": ["should not of bought 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": ["after about 5 / 10 minutes of use the screen goes crazy and you have to force to power down and wait to restart ."], "output": "[['screen', 'display 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 can not stand the trackpad or the keyboard keys ."], "output": "[['trackpad', 'keyboard general', 'negative', 'NULL'], ['keyboard keys', '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 keyboard is stiff and unresponsive to my typing at times ."], "output": "[['keyboard', 'keyboard quality', 'negative', 'stiff'], ['keyboard', 'keyboard quality', '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": ["the chromebook r 11 was hardly used and only a few months old ."], "output": "[['chromebook r 11', '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": ["one day it just would not power up ."], "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": ["some apps don ' t work but the play store is still in beta right now"], "output": "[['apps', 'software general', 'negative', 'NULL'], ['play store', '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": ["what really did it was when i tried contacting acer support i was simply told ` ` try a restart ` ` and then ` ` call google , we can ' t help you ` ` ."], "output": "[['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": ["returning it after one day"], "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": ["but do not dare will only be good for playing games maybe it will get better ."], "output": "[['it', '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": ["after some use , the battery charge had logically gone down some ( down to about 80 % ) , and so i went back to my office to plug it in ."], "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": ["asus customer support was through chat and cumbersome ."], "output": "[['asus customer support', 'support general', 'negative', 'cumbersome']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive 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 it on my desk and was watching youtube videos and it went black ."], "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 very dim however ."], "output": "[['screen', 'display operation_performance', 'negative', 'dim']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} +{"task_type": "generation", "dataset": "acos", "input": ["the brand new vivobook is dead in the water !"], "output": "[['vivobook', 'laptop 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": ["don ' t buy 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": ["sounds like a good deal for a $ 620 laptop but battery doesn ' t perform as promised i am hardly getting 4 hrs ."], "output": "[['laptop', 'laptop price', 'positive', 'good'], ['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": ["external speakers were decent sounding until right one gave away and now is heavily distorted at even mid vol ."], "output": "[['external speakers', 'multimedia_devices general', 'positive', 'decent'], ['external 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": ["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": ["keyboard is decent with good travel ."], "output": "[['keyboard', 'keyboard portability', 'positive', 'decent'], ['keyboard', 'keyboard 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": ["screen is amazing"], "output": "[['screen', '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": ["thin bezels allow for a compact frame"], "output": "[['bezels', 'laptop 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": ["overall this is a good system for the price and i do recommend the ssd for the price ."], "output": "[['system', 'os price', 'positive', 'good'], ['ssd', 'hard_disc 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": ["but my main concerns for everyone is the heat and fan noises , both are very apparent and if you have this on your lap you better have a laptop tray or keep it on a desk ."], "output": "[['fan', 'fans&cooling operation_performance', 'negative', 'concerns']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD 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 loved asus and they build amazing machines ."], "output": "[['asus', 'company general', 'positive', 'loved'], ['machines', '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": ["if you can save for 750 - 800 i would recommend going up a bit in the asus line ."], "output": "[['asus', 'company 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 seems like there is a problem with the processor because it constantly starts and stops while i ' m trying to surf the web ."], "output": "[['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": ["bought this on may , barely used it and now 4 months later it ' s randomly shutting down every few minutes ."], "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": ["pros : lightweight and looks nice ."], "output": "[['NULL', 'laptop portability', 'positive', 'pros'], ['NULL', 'laptop portability', 'positive', 'lightweight'], ['NULL', 'laptop general', 'positive', 'pros'], ['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": ["this computer is loud !"], "output": "[['computer', 'laptop design_features', '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": ["i am so disgusted and disheartened by my dealings with asus support , it ' s hard to believe ."], "output": "[['asus support', 'support quality', 'negative', 'disgusted'], ['asus support', 'support quality', 'negative', 'disheartened']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} +{"task_type": "generation", "dataset": "acos", "input": ["returned because had it less than a month and it decided to go crazy and start typing by its self ect ."], "output": "[['NULL', 'laptop 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 computer has wasted so much of my time already ."], "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": ["it still is nice looking with a textured cover and being black overall ."], "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": ["it opens programs immediately ."], "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": ["i do not think i will need to upgrade the ram ."], "output": "[['ram', '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": ["acer made a winner here !"], "output": "[['acer', 'laptop general', '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": ["buy this computer and you ' ll be very happy with it ."], "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": ["+ backlight kb and travel feels pretty nice on the keys ."], "output": "[['backlight kb', 'keyboard operation_performance', 'positive', 'nice'], ['keys', '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": ["- an optical drive if you ever want to play a classic game or watch a dvd ."], "output": "[['optical drive', 'optical_drives 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 ports were another thing that i was really excited to see fully included on a laptop in this price range ."], "output": "[['ports', 'ports general', 'positive', 'excited'], ['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 been happy being able to plug in and run overwatch from time to time on this laptop , with higher settings ."], "output": "[['laptop', '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": ["this is the best laptop for the 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 like that it ' s got the 8th generation i5 cpu ."], "output": "[['8th generation i5 cpu', 'cpu 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": ["dedicated graphics card"], "output": "[['graphics card', 'graphics general', 'positive', 'dedicated']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive 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 that borders the screen kind of comes out ever so slightly ."], "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": ["it ' s pretty fast for a laptop especially a laptop in this price point ."], "output": "[['laptop', 'laptop operation_performance', 'positive', 'fast'], ['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 would knock a star for the hard drive size since it ' s incredibly small but at this price you can easily pick up large one to add if you want to and it ' s not like you aren ' t warned when you buy it ."], "output": "[['hard drive size', 'hard_disc miscellaneous', 'positive', '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": ["the picture clarity is amazing and the backlit keyboard is awesome ."], "output": "[['picture clarity', 'display quality', 'positive', 'amazing'], ['backlit 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": ["overall , this budget laptop ticks all the boxes and there is nothing on the market that is new with so many features crammed in at this price ."], "output": "[['budget 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": ["can ' t beat it for 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": ["also love that access to the hd / ssd and ram slots is really easy ."], "output": "[['ram slots', 'memory design_features', 'positive', 'easy'], ['hd / ssd', 'memory 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": ["acer seems to be the only one who puts together stuff like this ."], "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": ["the bluetooth connects easily to everything ."], "output": "[['bluetooth', 'multimedia_devices 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": ["it boots in seconds although i usually just leave it on constantly ."], "output": "[['boots', '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 battery life is excellent ( i get 6 - 8 hours of normal university student usage out of it ) and even when i ' m using it , it charges as fast as my phone ."], "output": "[['battery life', 'battery operation_performance', 'positive', 'excellent'], ['battery life', 'battery 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 , other than video calls it does really 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": ["- the spacebar is finicky ."], "output": "[['spacebar', 'keyboard design_features', '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": ["the chromebook has instant connection and a hugely impressive 8 - hour battery life when left on ."], "output": "[['chromebook', 'laptop connectivity', 'positive', 'NULL'], ['battery life', 'battery operation_performance', '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": ["i just got it today and 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": ["if you are in the google echo system , then this is great ."], "output": "[['google echo system', '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": ["works 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": ["he 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": ["a great chromebook at a very reasonable price , includes the google play store ."], "output": "[['chromebook', 'laptop general', 'positive', 'great'], ['chromebook', '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": ["that being said , my son 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": ["this is a functional laptop , perfect for work and casual internet browsing ."], "output": "[['laptop', 'laptop operation_performance', 'positive', 'functional'], ['laptop', '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": ["great computer and great value , our second chromebook and first one still doing fine just needed another for family ."], "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": ["i wanted an inexpensive chromebook and this fit the bill ."], "output": "[['chromebook', '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": ["set up is take out of box and open cover ."], "output": "[['set up', '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": ["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 loved mine , so i got her the same one ."], "output": "[['NULL', '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": ["can ' t really find a viewing angle where all of it looks right at the same time ."], "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": ["very easy 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": ["the chromebook was packaged well and we saw no defects ( ours was used ) ."], "output": "[['chromebook', 'shipping quality', 'positive', 'well'], ['chromebook', 'shipping quality', 'positive', 'no defects']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive 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 basic little laptop and i love it ."], "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 battery life is incredible and literally lasts all day , not to mention it charges to 100 % in about an hour and a half ."], "output": "[['battery life', 'battery operation_performance', 'positive', 'incredible'], ['battery life', '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": ["linux is a fairly light os depending on the distro you use ."], "output": "[['linux', 'os design_features', 'positive', 'light'], ['os', 'os 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": ["there is a lot of ' bang for your buck ' in the lenovo ideapad 320 ."], "output": "[['lenovo ideapad 320', '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": ["low rpm hdd ."], "output": "[['hdd', '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": ["my only fair complaint is that it occasionally restarts itself without warning ( usually no more than once every day or two ) ."], "output": "[['NULL', 'laptop 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": ["excellent laptop good speed on uploads and download ."], "output": "[['laptop', 'laptop general', 'positive', 'excellent'], ['laptop', '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 the screen resolution ."], "output": "[['screen resolution', '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": ["a good 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": ["thanks for the 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": ["light thin best price power laptop"], "output": "[['laptop', 'laptop design_features', 'positive', 'light'], ['laptop', 'laptop design_features', 'positive', 'thin'], ['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": ["love this so much !"], "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": ["at a ` ` black friday ` ` price , this computers specs could not be beat for the value to dollar performance ratio ."], "output": "[['computers specs', '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": ["overall , this was a good buy and i still love my purchase nonetheless ."], "output": "[['NULL', 'laptop general', 'positive', 'good'], ['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 ' m using it mainly to store movies , and the 1 tb drive is nice ."], "output": "[['drive', 'hard_disc 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 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 have always loved loved the kindles ."], "output": "[['kindles', 'laptop general', 'positive', 'loved'], ['kindles', '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 only complaint is that the mouse keypad is a little big ."], "output": "[['mouse keypad', 'mouse design_features', 'negative', 'complaint'], ['mouse keypad', 'mouse 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": ["so , i have had this laptop for almost a week and have put it through the ringer ."], "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 thing i really didn ' t like about this was how quickly the battery drained ."], "output": "[['battery', 'battery 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": ["i have n ' t used it much for gaming but i imagine it works 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": ["my kids have played roblox and minecraft on it along with fortnite so i think it can handle online gaming pretty good ."], "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": ["if you ' re big on aesthetics then you ' ll love the look ."], "output": "[['look', '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": ["i will never use another microsoft program as long as i live ."], "output": "[['microsoft program', '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": ["just a home pc laptop that works very well ."], "output": "[['home pc 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": ["it has a full size keyboard , a number pad , a camera , and great big screen !"], "output": "[['keyboard', 'keyboard design_features', 'positive', 'NULL'], ['number pad', 'keyboard design_features', 'positive', 'NULL'], ['camera', 'keyboard design_features', 'neutral', 'NULL'], ['screen', 'display design_features', 'positive', 'great'], ['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": ["this is just perfect ."], "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": ["very happy with this laptop although not a fan of windows 10 ."], "output": "[['laptop', 'laptop general', 'positive', 'happy'], ['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": ["navigates well ."], "output": "[['navigates', 'out_of_scope 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": ["using it for doing programming , app development , and electronics projects ."], "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 i ' m enjoying it ."], "output": "[['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": ["it is very good for the 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": ["but , until that time , this review stands as : do not buy if your care about the display ' s life ."], "output": "[[\"display ' s life\", 'display general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD 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 android is fun for tablet features , but its like embedding an android inside , without letting android apps out to utilize the full abilities of the chromium system ."], "output": "[['android', 'os general', 'positive', 'fun'], ['android', '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": ["google is expecting to add that in sometime in the next year ."], "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": ["i was skeptical ordering this because of the conflicting reviews ."], "output": "[['NULL', 'laptop general', 'negative', 'skeptical']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} +{"task_type": "generation", "dataset": "acos", "input": ["it keep going off on sleep mode without any way to wake it 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": ["which is really sad because in the time i could actually use the chromebook i absolutely loved it ."], "output": "[['chromebook', 'laptop general', 'positive', 'loved'], ['chromebook', '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": ["i tried it , and it is very limited for the current price of $ 550 ."], "output": "[['NULL', 'laptop 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": ["many apps aren ' t ` ` compatible ` ` and even the ones that work , they look awful ."], "output": "[['apps', 'software 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": ["another expensive & poorly executed samsung product ."], "output": "[['samsung product', 'laptop price', 'negative', 'expensive'], ['samsung product', 'laptop 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": ["thankfully , this time , acer has gotten that part right ."], "output": "[['acer', 'company general', 'positive', 'thankfully']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} +{"task_type": "generation", "dataset": "acos", "input": ["things are less clear here ; the toshiba again has better performance , and uses a real ssd , but it has less impressive build quality and even less impressive materials ; it does offer a backlit keyboard and an even nicer screen , still the nicest of these three ."], "output": "[['toshiba', 'laptop operation_performance', 'positive', 'better'], ['build quality', 'laptop quality', 'negative', 'less impressive'], ['screen', 'display 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": ["i only mention this because , in my opinion , you ' re getting about $ 300 worth of performance here ; anyone telling you this device runs like a $ 500 or $ 800 computer is exaggerating ."], "output": "[['device', 'laptop price', '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": ["for home users , these cheap machines fit many use cases from casual browsing and two - screening , to watching videos and calling family ."], "output": "[['machines', 'laptop price', 'positive', 'cheap'], ['machines', '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": ["as a 5 - year chromebook veteran , i ' ve been waiting for this 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 processor on this chromebook is one of the best you can get on a chromebook at this price ( i did plenty of research ) , but you start to notice a lag when you have more than 3 browsers open at once ."], "output": "[['processor', 'cpu price', 'positive', 'best'], ['processor', 'cpu 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 , honesty , for the intended use case of a budget chromebook ( youtube , bill paying , amazon prime watching machine ) this difference is negligible ."], "output": "[['chromebook', 'laptop quality', 'neutral', 'negligible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive 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 don ' t want the power cord draped down the right side and annoying me ."], "output": "[['power cord', 'power_supply 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": ["i was pleasantly surprised at how good it is ."], "output": "[['NULL', 'laptop general', 'positive', 'pleasantly'], ['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": ["as a windows and mac user , i wasn ' t sure if i could benefit from using chromeos , but i find myself using it more than i anticipated ."], "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 was extremely hesitant to buy a used macbook pro ( it ' s still a lot of money ) but so far am surprisingly pleased with it ."], "output": "[['macbook pro', 'laptop general', 'neutral', 'hesitant'], ['macbook pro', '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": ["- new ports that were not in the 2011 model : hdmi port , extra thunderbolt video port ( now it has two instead of one )"], "output": "[['ports', 'ports 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": ["i had the chance to test the new radeon graphics card and it ' s really good ."], "output": "[['radeon graphics card', 'graphics 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": ["honestly , i think nobody uses these ports anyway ."], "output": "[['ports', '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": ["maybe that ' s a consequence of how the retina display is built , but yeah , it ' s harder to keep the screen clean ."], "output": "[['screen', 'display general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive 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 wish the screen were bigger , but i had to go with the 13 ` ` due to budget constraints , so that ' s on me ."], "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": ["these macbook pro computers are expensive ."], "output": "[['macbook pro computers', '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 think for others they are just buying into the brand ."], "output": "[['brand', '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 the retina display ."], "output": "[['retina display', 'display 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 extremely 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": ["it doesn ' t effect any of the functionality , but it was a little disappointing to open the box to see a dent on something i ' d just spend $ 1 , 000 on ."], "output": "[['dent', '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": ["it worked perfectly right out of the box ."], "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": ["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": ["battery issues aside , i really love this laptop and it is easily the nicest piece of electronics i have ever owned ."], "output": "[['battery', 'battery general', 'negative', 'NULL'], ['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": ["neat and sleek build , great display and very nice os"], "output": "[['build', 'laptop design_features', 'positive', 'neat'], ['build', 'laptop design_features', 'positive', 'sleek'], ['display', 'display general', 'positive', 'great'], ['os', 'os 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 new touchpad takes a little getting used to , but otherwise it ' s been perfect ."], "output": "[['touchpad', 'keyboard general', 'neutral', 'NULL'], ['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 retina screen is amazing ."], "output": "[['retina screen', 'display 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": ["less of a fault of the much lauded diving board and more a factor of the very well designed new hardware ."], "output": "[['hardware', 'hardware 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": ["not to mention , the touchbar is just another gimmicky addition to the ` ` future of apple ` ` ( really not as effective as one would think ) ."], "output": "[['touchbar', 'keyboard general', 'positive', 'gimmicky']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD 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 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": ["battery life is a huge plus !"], "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": ["such a nice mac"], "output": "[['mac', '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": ["price was very good and met my expectations also shipping was very quick ."], "output": "[['NULL', 'laptop price', 'positive', 'good'], ['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": ["however , i have to remove one star for the very unreliable magnetic charging connector ."], "output": "[['charging connector', 'power_supply 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": ["my first mac is awesome !"], "output": "[['mac', '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 arrived on time and in excellent condition and my hubby has been happily using it now for several weeks with no problems ."], "output": "[['NULL', 'shipping general', 'positive', 'excellent'], ['NULL', 'laptop general', 'positive', 'happily']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD 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 all the necessary ports ."], "output": "[['laptop', '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": ["as i bought 13 inch model , it is very portable ."], "output": "[['model', '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": ["i ' ve been extremely impressed by this device ."], "output": "[['device', '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": ["overall : i ' m super happy with this product ."], "output": "[['product', '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 feels responsive to me , and i went to settings to customize the speed , clicking , and scrolling ."], "output": "[['NULL', '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": ["the only drawback is that it only comes with 32 gb of hard drive ."], "output": "[['hard drive', 'hard_disc design_features', '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": ["configuring the printer was a little tricky but not bad ."], "output": "[['printer', 'multimedia_devices 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": ["my desktop runs all my video editing software for my bigger and most demanding projects and mylaptop is great for editing video and running pc games in places other than my home ( like school ! )"], "output": "[['mylaptop', '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": ["either they were so slow i couldn ' t get any work done or they just flat out broke after a couple months ."], "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": ["this is where the r11 gets interesting ."], "output": "[['r11', 'laptop usability', '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": ["i have not had any freezing or screen flashing issues ."], "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 guess i got one of the good ones as i have had no trouble at all ."], "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": ["did i mention , i can access all my word , excel , and powerpoint files using the google apps ."], "output": "[['google apps', '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 have had it about 4 days and have been checking out how well it runs my favorite android apps ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'well'], ['android apps', 'software operation_performance', '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": ["unfortunately , this particular computer is 100 % unusable after only 2 years and 2 weeks ."], "output": "[['computer', '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": ["it is a timeless design and a very respectable screen ."], "output": "[['design', 'laptop design_features', 'positive', 'timeless'], ['screen', 'display general', 'positive', 'respectable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive 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 disappointed with macbook pro 15 \u201d because sometimes charger macbook pro 15 \u201d running overheating !"], "output": "[['NULL', 'laptop general', 'negative', 'disappointed'], ['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": ["apple has always priced their hardware high , but you could always make an argument for the style , nice hardware and the unique osx experience ."], "output": "[['hardware', 'company price', 'negative', 'high'], ['NULL', 'laptop design_features', 'positive', 'NULL'], ['NULL', 'hardware general', 'positive', 'nice'], ['osx', 'os general', '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": ["* extremely weak graphics card ."], "output": "[['graphics card', 'graphics 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": ["the intel iris sucks ."], "output": "[['intel iris', 'hard_disc 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": ["i can ' t use my printer because it ' s not supported ."], "output": "[['printer', '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": ["usb port go dead until i do a restart ."], "output": "[['usb port', '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 i ' m just down to some gripes that are probably here to stay : the bluetooth on this thing is really fussy , the non - functional video output ( using usb - c video out through an hdmi cable sends just a blank desktop background and no audio , even if i am playing a movie or youtube visibly on the c302 screen ) , and that it can ' t hold a vpn connection without dropping it every 20 - 30 minutes ."], "output": "[['bluetooth', 'hardware operation_performance', 'negative', 'fussy'], ['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": ["sometimes they felt a bit half - baked , but i loved the idea , and the keyboard made a world of difference in what you could do with that tablet ."], "output": "[['NULL', 'laptop general', 'positive', 'loved'], ['keyboard', 'keyboard 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 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": ["this seems to be a somewhat common issue with chromebooks but this asus model doesn ' t have a way to preform an external reset , which is a big problem if you ' ve setup any personal info on it and it has to be sent back ."], "output": "[['asus model', '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 funny part is that the customer service people have been great but they have no control to take care of problems ."], "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": ["all metal body , very slim form factor , and has a pretty decent touchscreen ."], "output": "[['factor', 'laptop design_features', 'positive', 'slim'], ['touchscreen', '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": ["as others have already reported , the headphone jack produces extremely weak volume , even at max ."], "output": "[['headphone jack', '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": ["anyhow , within a week , the speakers started crackling annoyingly when watching videos , or playing games ."], "output": "[['speakers', 'multimedia_devices operation_performance', 'negative', 'annoyingly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} +{"task_type": "generation", "dataset": "acos", "input": ["unlike other asus laptops i ' ve tried , this unit won the display roulette ."], "output": "[['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": ["the native chrome os media player would play the files from the drive but had very limited playback capabilities , i could not get it to ` ` play all ` ` , only repeat one , suffice to say i was frustrated at that point and did not feel like googling how to make a media player do what others ` ` just do ` ` ."], "output": "[['native chrome os media player', '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": ["i like the security built in ."], "output": "[['NULL', 'software 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": ["if i had it to do over , i would not purchase 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": ["the first issue is that the speakers are on either side of the computer , and you can barely hear them on max volume ."], "output": "[['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": ["it also had charging problems and got terrible warranty support ."], "output": "[['NULL', 'power_supply general', 'negative', 'NULL'], ['warranty support', 'warranty 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 got the same failure to charge issue that others have reported ."], "output": "[['charge', '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": ["if bluetooth devices worked with this chromebook it would get 5 stars , but this is the least reliable device in regards to bluetooth i have ever owned ."], "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 feel like i bought a decent machine but it ' s unable to handle the ram workload ."], "output": "[['machine', 'laptop general', 'positive', 'decent'], ['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": ["i don ' t think that i was adequately prepared for how dark the screen is at its highest brightness in comparison to other devices ."], "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": ["don ' t get me wrong , the device flips back and forth very well ."], "output": "[['device', 'laptop 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": ["was initially impressed by design but after normal use without any rough handling or dropping of the chromebook , the metal corner tip covering the lcd peels off & warps / bends upwards !"], "output": "[['metal corner tip', '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": ["to say i ' m disappointed in this chromebook would be an understatement ."], "output": "[['chromebook', '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 computer is really hard to use ."], "output": "[['computer', '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": ["it ' s their policy to only repair not replace ."], "output": "[['policy', '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": ["+ comfortable keyboard"], "output": "[['keyboard', 'keyboard design_features', '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": ["other than this , it ' s a decent product ."], "output": "[['product', '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": ["decent enough build , but the mouse pad is terrible ."], "output": "[['build', 'laptop design_features', 'positive', 'decent'], ['mouse pad', 'keyboard 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": ["games / video apps perform absolutely awfully ."], "output": "[['games / video apps', 'software operation_performance', 'negative', 'awfully']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive 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 ' s visible design itself was fine ."], "output": "[['machine', '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": ["after one charge , the battery would not take 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": ["it will not power on anymore after 2 mos of daily use - 4 hours per day ."], "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 went through two of them , both came with sharp edges that made them dangerous and uncomfortable to use ."], "output": "[['NULL', 'laptop design_features', 'negative', 'dangerous'], ['NULL', '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": ["i really liked it when i first got it , it performs very well and the software is very easy to use ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'well'], ['software', '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": ["using wifi the signal seems to drop , not sure if the wifi adapter needs an update but there are issues ."], "output": "[['wifi', 'out_of_scope operation_performance', 'negative', 'NULL'], ['wifi adapter', '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 , the factory default driver configuration of this thing is unstable , which makes installing a correct configuration more difficult ."], "output": "[['factory default driver', 'software operation_performance', 'negative', 'unstable'], ['factory default driver', 'software 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": ["the mouse pad is very touchy , but i use a separate bluetooth mouse anyways ."], "output": "[['mouse pad', 'hardware operation_performance', 'neutral', '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": ["i didn ' t even call for tech help because a brand new laptop should not be giving me such a headache ."], "output": "[['brand new laptop', '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 laptop its - self is great and is made of good build quality ."], "output": "[['laptop', 'laptop general', 'positive', 'great'], ['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": ["beautiful screen ."], "output": "[['screen', '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": ["monitor screen is ok , sometimes the contrast is poor but looks better in games ."], "output": "[['monitor screen', 'display operation_performance', 'neutral', 'ok'], ['contrast', 'display operation_performance', 'negative', 'poor'], ['contrast', '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": ["the laptop now does n ' t even function without needing a full factory reset every 3 hours ."], "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 had it to do over again , i would not buy this pc ."], "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 would * not * recommend this laptop ."], "output": "[['laptop', '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": ["this is the absolute worst laptop i have ever owned ."], "output": "[['laptop', '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": ["now , i have been stressed with fixing this laptop since every day has been something new that i need to fix with it ."], "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 overall material the laptop is made of feels incredibly cheap ."], "output": "[['overall material the laptop', 'laptop design_features', '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": ["don ' t waste your money on this computer , it will disapoint you in every way possible ."], "output": "[['computer', 'laptop general', 'negative', 'disapoint']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive 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 was dead on arrival ."], "output": "[['laptop', '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": ["it is not a very stable build at all ."], "output": "[['NULL', 'laptop design_features', 'negative', 'not a very 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": ["i have had this laptop two months now and it has crashed as many times ."], "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": ["this is the worst laptop i have ever bought in my entire life ."], "output": "[['laptop', '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 laptop is small and thin for a 15 ."], "output": "[['laptop', 'laptop design_features', 'positive', 'small'], ['laptop', 'laptop 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": ["- keyboard is not that good , i fell that there is uneven uniformity in the button press and travel , and definitely some flex ."], "output": "[['keyboard', 'keyboard usability', 'negative', '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": ["battery life doesn ' t seem to be more than 5 hours , but i expected that going in ."], "output": "[['battery life', 'battery 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": ["battery charger is super tiny and lightweight , which is an additional advantage vs the 1 lb brick that you have to lug around with the ux501vw ."], "output": "[['battery charger', 'power_supply design_features', 'positive', 'tiny'], ['battery charger', 'power_supply 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 just opened it earlier today and my initial impressions is that it is very attractive and very sturdy feeling and i love the screen which non reflective , it ' s very nice not looking into a reflective glossy screen for a change ."], "output": "[['NULL', 'laptop general', 'positive', 'attractive'], ['NULL', 'laptop general', '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": ["most of the laptop is actually very good , but is held back by a 5400 rpm hdd ."], "output": "[['laptop', 'laptop general', 'positive', 'good'], ['5400 rpm 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": ["other than that its components are actually very good ."], "output": "[['components', '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": ["disadvantage of amazon seller , it was delivered to my usps not my home ."], "output": "[['amazon seller', 'shipping quality', 'negative', 'disadvantage']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive 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 amazing , ips it seems ."], "output": "[['screen', 'display 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": ["loving the laptop ."], "output": "[['laptop', '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": ["it ' s light weight , sleek , the screen resolution is great and it runs very well for everyday use ."], "output": "[['NULL', 'laptop design_features', 'positive', 'light'], ['NULL', 'laptop design_features', 'positive', 'sleek'], ['screen resolution', 'display general', '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": ["it charges very fast ; from near dead to full in less than an hour ."], "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": ["i got this laptop for school and it is simply amazing ."], "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": ["moreover , the 8th gen i5 cpu is amazing ."], "output": "[['8th gen i5 cpu', 'cpu 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 has been a very light convenient laptop for me ."], "output": "[['laptop', 'laptop design_features', 'positive', 'light'], ['laptop', '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": ["i have no issues with using the internal hard drive , it works fast enough for me when loading up my software and music ."], "output": "[['internal hard drive', '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": ["this little vivo had the speed / storage that we need , the materials feel substantial instead of cheap ."], "output": "[['vivo', 'laptop general', 'positive', 'NULL'], ['materials', 'laptop quality', 'positive', 'substantial'], ['materials', 'laptop quality', 'positive', 'instead of 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 ' m not a computer nerd but for a joe punch clock this is nice"], "output": "[['this', '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": ["on it ' s own , it performance 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": ["love the form factor and the light weight as i often use my laptop while laying down ."], "output": "[['my laptop', 'laptop design_features', 'positive', 'love'], ['my laptop', '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": ["opening it was a little hard but once opened , it ' s easy to add the ram or ssd ."], "output": "[['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": ["less than that , for me , the screen looks dull ."], "output": "[['screen', 'display quality', 'negative', 'dull']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD 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 mainly on youtube or reading stuff online , this chromebook functions well for that purpose ."], "output": "[['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": ["the laptop was shipped in what looked like a new case but upon opening it , it appeared used and repackaged ."], "output": "[['laptop', 'shipping 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": ["freezes with red lines across it , froze five times the first afternoon ."], "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": ["had problems with my acer chromebook from the very start ."], "output": "[['acer 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": ["every few weeks the system locks up and freezes ."], "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": ["looks like the hdmi port may be defective or something - - another reviewer had a similar problem ."], "output": "[['hdmi port', 'ports operation_performance', '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": ["before the review this package has nice presentation and solid build ."], "output": "[['package', 'laptop design_features', 'positive', 'nice'], ['build', '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": ["( good ) as for the laptop ( when it worked , and i mean for the whole 30 minutes ) it was extremely fast ."], "output": "[['laptop', 'laptop general', 'positive', 'good'], ['laptop', '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": ["adequate screen ."], "output": "[['screen', 'display 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": ["it ` ` feels ` ` solid ."], "output": "[['NULL', '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": ["the product looks reasonable at this price range ."], "output": "[['product', '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": ["i ' ve only had the computer for a little over a month , that is annoying on many levels ."], "output": "[['computer', '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 manufacturer was not helpful in trying to resolve this issue ."], "output": "[['manufacturer', '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": ["having ram problems after 1 ."], "output": "[['ram', '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 ' ve been able to play fortnite on this laptop , medium settings , with no issues or lag / stutter ."], "output": "[['laptop', '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": ["unfortunately i was never able to complete this task , because after booting the laptop it suddenly shut - off on me and wouldn ' t turn back on again ."], "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 wall power adapter charger is not working and then later caught fire ."], "output": "[['wall 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 ' m extremely disappointed with the performance of this laptop ."], "output": "[['laptop', '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": ["there are several traps inside and outside of 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": ["keyboard is not good ."], "output": "[['keyboard', 'keyboard general', '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": ["- sleek and nice texture on lid"], "output": "[['lid', 'laptop design_features', 'positive', 'sleek'], ['lid', '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": ["one of the keys is especially flimsy and feels like it could break at any moment ."], "output": "[['one of the keys', 'keyboard quality', '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": ["it gets what you need done ."], "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": ["if you plan on buying this beware that your patience may run thin ."], "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": ["machine is totally unusable during the update ."], "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": ["i received the item after 18 days of ordering ."], "output": "[['item', 'shipping general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} +{"task_type": "generation", "dataset": "acos", "input": ["gamers , do not fool yourself with the fancy ` ` intel i5 , 8th generation ` ` , nothing can fix an incompetent hard drive , that 8gb ram is worth nothing ."], "output": "[['intel i5', 'cpu general', 'positive', 'fancy'], ['hard drive', 'hard_disc operation_performance', 'negative', 'incompetent'], ['ram', 'memory general', 'negative', 'worth 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": ["asus has really set a new standard with the c302ca ' s internals and physical design ."], "output": "[['asus', 'company design_features', 'positive', 'NULL'], [\"c302ca ' s internals\", 'laptop design_features', 'positive', 'NULL'], ['physical design', '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": ["similarly the task tray area of the main task bar is on the small side and lends itself to fat - fingering ."], "output": "[['task tray area', '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": ["one of the features of chromeos that i find very convenient is the way in which all of your configuration settings are stored in the cloud with your gmail account ."], "output": "[['chromeos', 'os design_features', '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": ["a big part of this device is its gorgeous aesthetic ."], "output": "[['device', 'laptop design_features', 'positive', 'gorgeous'], ['device', 'laptop design_features', 'positive', 'aesthetic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD 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 and the $ 450 asking price seems fair ."], "output": "[['device', 'laptop general', 'positive', 'great'], ['device', 'laptop price', 'neutral', '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": ["this computer was 10 fold what i had expected ."], "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 ' m usually peaked with ram ( ~ 95 % ) which is good because it ' s better used than not used ."], "output": "[['ram', 'memory operation_performance', 'positive', 'good'], ['ram', 'memory 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": ["but it is a bit big and heavy ."], "output": "[['NULL', 'laptop design_features', 'negative', 'big'], ['NULL', 'laptop design_features', '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": ["quality is excellent so far , and the software / hardware combination works like they were made for each other ( which is what you want : ) )"], "output": "[['quality', 'laptop quality', 'positive', 'excellent'], ['software', 'software operation_performance', 'positive', 'NULL'], ['hardware', '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": ["after a week of use , i can safely say it is the most impressive chromebook i have used to - date ."], "output": "[['chromebook', '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": ["at the moment , it is everything it was advertised to be ."], "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 screen is really amazing and you can easily change it to 1080p with no issues ( it ' s set lower out of the box ) ."], "output": "[['screen', '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": ["it ' s sturdy , and looks and feels great ."], "output": "[['NULL', 'laptop design_features', 'positive', 'sturdy'], ['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": ["update : the c302 now supports google play store services on the stable channel ."], "output": "[['c302', '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": ["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 screen is plenty bright , and the sound from the speakers is fine for a laptop ( you won ' t be filling a room with sound ) ."], "output": "[['sound', 'multimedia_devices operation_performance', 'positive', 'fine'], ['speakers', 'multimedia_devices 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": ["love the backlit keyboard ."], "output": "[['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": ["can get pretty warm running an intensive android app for a while ."], "output": "[['android app', 'laptop quality', '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": ["at least the volume through bluetooth was tolerable ."], "output": "[['volume through bluetooth', 'multimedia_devices operation_performance', 'neutral', 'tolerable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD 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 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": ["after two years , or almost , the worst thing about this machine is lack of printer support ."], "output": "[['machine', 'laptop design_features', '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": ["setup was fast and easy , but then again i ' ve been a gmail / gcal / gdocs purist for a while now ."], "output": "[['setup', 'laptop usability', 'positive', 'fast'], ['setup', '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 has exceeded my expectations for performance , functionality and utility ."], "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": ["in general , it has the look and feel of a premium laptop that is at home in any situation such as sitting down with a client ."], "output": "[['laptop', 'laptop design_features', '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": ["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": ["this is my third chromebook and easily the best i ' ve encountered ."], "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": ["very expensive for what you get ."], "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": ["it ' s lighter , good construction , chromebook works perfectly and downloaded 10 different apps i normally use for free ."], "output": "[['NULL', 'laptop design_features', 'positive', 'lighter'], ['construction', 'laptop design_features', 'positive', 'good'], ['chromebook', '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": ["battery life is also solid ."], "output": "[['battery life', '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": ["construction looks and feels great ."], "output": "[['construction', '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": ["on the other hand my least favorite feature is the track pad ."], "output": "[['track pad', 'hardware general', 'negative', 'least 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": ["nice screen ."], "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 am a mac person in every other way , but 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": ["easy set up , nice picture , responsive mouse pad , very lightweight , etc ."], "output": "[['set up', 'laptop operation_performance', 'positive', 'easy'], ['mouse pad', 'keyboard operation_performance', 'positive', 'responsive'], ['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": ["i love the keyboard , trackpad and screen ."], "output": "[['keyboard', 'keyboard general', 'positive', 'love'], ['trackpad', 'keyboard general', 'positive', 'love'], ['screen', 'display 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 speakers are super clear and get loud enough , but obviously lack bass ."], "output": "[['speakers', 'multimedia_devices operation_performance', 'positive', 'clear'], ['speakers', 'multimedia_devices operation_performance', 'positive', 'loud'], ['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": ["the build quality seems very 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": ["for ~ $ 400 , i ' m happy with this product after a couple months ."], "output": "[['product', '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 and the screen is nice ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'fast'], ['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": ["overall i like its slim design and feather light - weight alone with well equipped spec that can meet my daily work environment ."], "output": "[['design', 'laptop design_features', 'positive', 'like'], ['design', 'laptop design_features', 'positive', 'slim'], ['design', 'laptop design_features', 'positive', 'light - weight'], ['spec', 'laptop 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": ["i ' m four months into owning this lean , mean , little machine ."], "output": "[['machine', 'laptop design_features', 'positive', 'lean'], ['machine', 'laptop design_features', 'positive', 'mean']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive 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 already recommended or bought this for 4 others ."], "output": "[['NULL', '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 best laptop i have 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 chromebook looks and feels great , performs even better and will soon support google play apps ."], "output": "[['chromebook', 'laptop general', 'positive', 'great'], ['chromebook', '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 works perfectly and feels very tight but it is something i noticed ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'perfectly'], ['NULL', 'laptop operation_performance', 'positive', 'tight']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD 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 very 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": ["this is my second asus product , and i have been very happy with both ."], "output": "[['asus product', '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 loved the tablet transition to it ."], "output": "[['tablet transition', 'laptop design_features', '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": ["cons : no usb ports ."], "output": "[['usb ports', 'ports 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": ["ca n ' t wait wait 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": ["their sake list was extensive , but we were looking for purple haze , which was n ' t listed but made for us upon request !"], "output": "[['sake list', 'drinks style_options', 'positive', 'extensive'], ['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 spicy tuna roll was unusually good and the rock shrimp tempura was awesome , great appetizer to share !"], "output": "[['spicy tuna roll', 'food quality', 'positive', 'good'], ['rock shrimp tempura', 'food quality', '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": ["we love th pink pony ."], "output": "[['pink pony', '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": ["this place has got to be the best japanese restaurant in the new york area ."], "output": "[['place', '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 tend to judge a sushi restaurant by its sea urchin , which was heavenly at sushi rose ."], "output": "[['sea urchin', 'food quality', 'positive', 'heavenly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} +{"task_type": "generation", "dataset": "acos", "input": ["the prix fixe menu is worth every penny and you get more than enough ( both in quantity and quality ) ."], "output": "[['prix fixe menu', 'food quality', 'positive', 'worth'], ['prix fixe menu', 'food style_options', 'positive', 'worth'], ['prix fixe menu', '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 food here is rather good , but only if you like to wait for it ."], "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": ["also , specify if you like your food spicy - its rather bland if you do n ' t ."], "output": "[['food', '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 ambience is pretty and nice for conversation , so a casual lunch here would probably be best ."], "output": "[['ambience', 'ambience general', 'positive', 'pretty'], ['ambience', 'ambience general', 'positive', 'nice'], ['NULL', 'restaurant miscellaneous', '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 was horrible ."], "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": ["have been dozens of times and never failed to enjoy the experience ."], "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": ["make sure you try this place as often as you can ."], "output": "[['place', 'restaurant general', 'positive', 'often']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive 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 group for my birthday and we were well taken care of ."], "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": ["get the tuna of gari ."], "output": "[['tuna of gari', '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": ["make sure you have the spicy scallop roll . . ."], "output": "[['spicy scallop 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": ["raga ' s is a romantic , cozy restaurant ."], "output": "[[\"raga ' s\", 'ambience general', 'positive', 'romantic'], [\"raga ' s\", '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": ["i had a great time at jekyll and hyde !"], "output": "[['jekyll and hyde', '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 am bringing my whole family back next time ."], "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": ["fine dining restaurant quality ."], "output": "[['dining', '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": ["we will return many times for this oasis in mid - town ."], "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 options rule ."], "output": "[['food', '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": ["my husband and i thougt it would be great to go to the jekyll and hyde pub for our anniversary , and to our surprise it was fantastic ."], "output": "[['jekyll and hyde pub', 'restaurant general', 'positive', 'great'], ['jekyll and hyde pub', '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": ["please take my advice , go and try this place ."], "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": ["they were served warm and had a soft fluffy interior ."], "output": "[['NULL', 'food quality', 'positive', 'warm'], ['NULL', 'food quality', 'positive', 'soft']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD 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 do ."], "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": ["fresh restaurant was amazing . . . . . . . . food was delicious and of course fresh ."], "output": "[['restaurant', 'restaurant general', 'positive', 'fresh'], ['restaurant', 'restaurant general', 'positive', 'amazing'], ['food', 'food quality', 'positive', 'delicious'], ['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": ["hats off to the chef ."], "output": "[['chef', 'food quality', 'positive', 'hats 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": ["this is some really good , inexpensive sushi ."], "output": "[['sushi', 'food quality', 'positive', 'good'], ['sushi', '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": ["this place is always very crowded and popular ."], "output": "[['place', 'restaurant miscellaneous', 'positive', 'crowded'], ['place', 'restaurant miscellaneous', 'positive', 'popular']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD 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 evaluated on those terms pastis is simply wonderful ."], "output": "[['pastis', '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 ' m still mad that i had to pay for lousy food ."], "output": "[['food', 'food quality', '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": ["the hanger steak was like rubber and the tuna was flavorless not to mention it tasted like it had just been thawed ."], "output": "[['hanger steak', 'food quality', 'negative', 'rubber'], ['tuna', 'food quality', 'negative', 'flavorless']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD 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 thumbs up !"], "output": "[['NULL', 'restaurant general', 'positive', 'thumbs 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": ["the pizza and wine were excellent - the service too - - but what really made this place was the backyard dining area ."], "output": "[['pizza', 'food quality', 'positive', 'excellent'], ['wine', 'drinks quality', 'positive', 'excellent'], ['service', 'service general', 'positive', 'excellent'], ['backyard dining area', '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 is one the nicest outdoor restaurants i have ever seen in ny - - i am from italy and this place rivals the ones in my country ."], "output": "[['outdoor restaurants', 'ambience 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 is simply 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": ["beautiful experience ."], "output": "[['NULL', '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": ["the menu is very limited - i think we counted 4 or 5 entrees ."], "output": "[['menu', 'food style_options', '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": ["we will go back every time we are in 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 characters really make for an enjoyable experience ."], "output": "[['characters', 'ambience 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": ["however , i think jeckll and hydes t is one of those places that is fun to do once ."], "output": "[['jeckll and hydes', '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": ["we had a good time ."], "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": ["a little overpriced but worth it once you take a bite ."], "output": "[['NULL', 'food prices', 'negative', 'overpriced'], ['NULL', '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": ["i have lived in japan for 7 years and the taste of the food and the feel of the restaurant is like being back in japan ."], "output": "[['food', 'food quality', 'positive', 'NULL'], ['feel', '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": ["check out the secret back room ."], "output": "[['back room', 'ambience general', 'positive', 'secret']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD 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 emilio ."], "output": "[['emilio', '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 authentic ."], "output": "[['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": ["fantastic !"], "output": "[['NULL', '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": ["but the staff was so horrible to us ."], "output": "[['staff', '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": ["decor is nice though service can be spotty ."], "output": "[['decor', 'ambience general', 'positive', 'nice'], ['service', 'service general', '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": ["just awsome ."], "output": "[['NULL', '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": ["i had their eggs benedict for brunch , which were the worst in my entire life , i tried removing the hollondaise sauce completely that was how failed it was ."], "output": "[['eggs benedict', '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": ["with the theater 2 blocks away we had a delicious meal in a beautiful room ."], "output": "[['meal', 'food quality', 'positive', 'delicious'], ['room', 'ambience general', 'positive', 'beautiful'], ['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": ["the service was attentive ."], "output": "[['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": ["patroon features a nice cigar bar and has great staff ."], "output": "[['cigar bar', 'ambience general', 'positive', 'nice'], ['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": ["lloovve this place ."], "output": "[['place', 'restaurant general', 'positive', 'lloovve']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive 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 limited but almost all of the dishes are excellent ."], "output": "[['menu', 'food style_options', 'negative', 'limited'], ['dishes', '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": ["wine list is extensive without being over - priced ."], "output": "[['wine list', 'drinks style_options', 'positive', 'extensive'], ['wine list', 'drinks prices', 'positive', 'without being 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": ["the food was very good , a great deal , and the place its self was great ."], "output": "[['food', 'food quality', 'positive', 'good'], ['food', 'food prices', 'positive', 'a'], ['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": ["the wait staff is very freindly , they make it feel like you ' re eating in a freindly little european town ."], "output": "[['wait staff', 'service general', 'positive', 'freindly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive 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 set up is truly unprofessional and i wish cafe noir would get some good staff , because despite the current one this is a great place ."], "output": "[['staff', 'service general', 'negative', 'unprofessional and i wish cafe noir would get some good staff'], ['cafe noir', '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": ["you should pass on the calamari ."], "output": "[['calamari', '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": ["when asked about how a certain dish was prepared in comparison to a similar at other thai restaurants , he replied this is not mcdonald ' s , every place makes things differently"], "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": ["everything was wonderful ; food , drinks , staff , mileau ."], "output": "[['food', 'food quality', 'positive', 'wonderful'], ['drinks', 'drinks quality', 'positive', 'wonderful'], ['staff', 'service general', 'positive', 'wonderful'], ['mileau', 'ambience general', 'positive', 'wonderful'], ['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 would highly recommend this place !"], "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": ["fresh ingredients and everything is made to order ."], "output": "[['ingredients', 'food quality', 'positive', 'fresh'], ['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": ["friendly staff that actually lets you enjoy your meal and the company you ' re with ."], "output": "[['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": ["i will definitely be 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": ["a great choice at any cost and a great deal ."], "output": "[['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": ["thalia is a beautiful restaurant with beautiful people serving you , but the food does n ' t quite match up ."], "output": "[['people', 'service general', 'positive', 'beautiful'], ['food', 'food quality', 'negative', \"does n ' t quite match up\"], ['thalia', '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": ["i ordered the smoked salmon and roe appetizer and it was off flavor ."], "output": "[['smoked salmon and roe appetizer', 'food quality', 'negative', 'off 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": ["the food is good , especially their more basic dishes , and the drinks are delicious ."], "output": "[['food', 'food quality', 'positive', 'good'], ['basic dishes', 'food quality', 'positive', 'good'], ['drinks', 'drinks 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": ["the big complaint : no toasting available ."], "output": "[['NULL', 'service 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 ' ve been many time and have never been disappointed ."], "output": "[['NULL', '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 turkey burgers are scary !"], "output": "[['turkey burgers', 'food quality', 'negative', 'scary']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD 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 authentic thai food , look no further than toons ."], "output": "[['thai 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": ["try the pad thai , or sample anything on the appetizer menu . . . they ' re all delicious ."], "output": "[['pad thai', 'food quality', 'positive', 'delicious'], ['pad thai', '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 good and food is wonderful ."], "output": "[['service', 'service general', 'positive', 'good'], ['food', '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": ["it is definitely a good spot for snacks and chat ."], "output": "[['spot', '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": ["do not get the go go hamburgers , no matter what the reviews say ."], "output": "[['go go hamburgers', '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": ["steamed fresh so brought hot hot hot to your table ."], "output": "[['NULL', '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": ["small servings for main entree , i had salmon ( wasnt impressed ) girlfriend had chicken , it was good ."], "output": "[['salmon', 'food quality', 'negative', 'wasnt impressed'], ['chicken', 'food quality', 'positive', 'good'], ['servings for main entree', 'food general', '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": ["cute and decorative ."], "output": "[['NULL', 'ambience general', 'positive', 'cute'], ['NULL', 'ambience general', 'positive', 'decorative']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD 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 spot for holiday get togethers with co - workers or friends that you have n ' t seen in a while ."], "output": "[['spot', '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": ["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": ["not the typical nyc gimmick theme restaurant ."], "output": "[['restaurant', 'ambience general', 'positive', 'not the typical']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD 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 prompt but slightly rushed ."], "output": "[['service', 'service general', 'positive', 'prompt'], ['service', 'service general', 'positive', 'rushed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive 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 this place ."], "output": "[['place', '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": ["everything i had was good , and i ' m a eater ."], "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 also recommend the rice dishes or the different varieties of congee ( rice porridge ) ."], "output": "[['rice dishes', 'food quality', 'positive', 'recommend'], ['congee ( rice porridge )', '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": ["i recently tried suan and i thought that it was great ."], "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": ["have been several times and it never dissapoints ."], "output": "[['NULL', 'restaurant general', 'positive', 'never dissapoints']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD 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 great bargain ."], "output": "[['place', 'restaurant 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": ["people are always friendly ."], "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": ["the best pad thai i ' ve ever had ."], "output": "[['pad thai', '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": ["would n ' t recomend it for dinner !"], "output": "[['NULL', 'restaurant general', 'negative', \"n ' t recomend\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} +{"task_type": "generation", "dataset": "acos", "input": ["ask for usha , the nicest bartender in manhattan ."], "output": "[['usha', '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": ["the food ' s as good as ever ."], "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": ["best drumsticks over rice and sour spicy soup in town !"], "output": "[['drumsticks over rice', 'food quality', 'positive', 'best'], ['sour spicy soup', '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": ["for those that go once and do n ' t enjoy it , all i can say is that they just do n ' t get it ."], "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": ["not worth it ."], "output": "[['NULL', 'food 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": ["this dish is my favorite and i always get it when i go there and never get tired of it ."], "output": "[['dish', '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": ["big wong is a great place to eat and fill your stomach ."], "output": "[['big wong', '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 okay and the prices here are mediocre ."], "output": "[['food', 'food quality', 'neutral', 'okay'], ['NULL', 'restaurant prices', '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": ["me and my girls 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": ["the 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": ["la rosa waltzes in , and i think they are doing it the best ."], "output": "[['la rosa', '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": ["interesting selection , good wines , service fine , fun decor ."], "output": "[['wines', 'drinks quality', 'positive', 'good'], ['service', 'service general', 'positive', 'fine'], ['decor', 'ambience general', 'positive', 'fun'], ['selection', 'food style_options', '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": ["the food here was mediocre at best ."], "output": "[['food', '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": ["the cypriot restaurant has a lot going for it ."], "output": "[['cypriot 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": ["will comeback for sure , wish they have it here in la . ."], "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 space kind of feels like an alice in wonderland setting , without it trying to be that ."], "output": "[['space', '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": ["i paid just about $ 60 for a good meal , though : )"], "output": "[['meal', 'food quality', 'positive', 'good'], ['meal', '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": ["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": ["the place is a bit hidden away , but once you get there , it ' s all worth it ."], "output": "[['place', 'location general', 'positive', 'hidden away'], ['place', 'location 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 love their chicken pasta cant remember the name but is sooo good"], "output": "[['chicken pasta', 'food quality', 'positive', 'love'], ['chicken pasta', '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": ["way below average"], "output": "[['NULL', 'restaurant 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": ["i think the pizza is so overrated and was under cooked ."], "output": "[['pizza', 'food quality', 'negative', 'overrated'], ['pizza', 'food quality', 'negative', 'under 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": ["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": ["the service was quick and friendly ."], "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": ["i thought the restaurant was nice and clean ."], "output": "[['restaurant', 'restaurant general', 'positive', 'nice'], ['restaurant', '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": ["chicken teriyaki had tomato or pimentos on top ? ?"], "output": "[['chicken teriyaki', '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 waitress was not attentive at all ."], "output": "[['waitress', 'service general', 'negative', 'not 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": ["just go to yamato and order the red dragon roll ."], "output": "[['yamato', 'restaurant general', 'positive', 'NULL'], ['red dragon 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": ["favorite sushi in nyc"], "output": "[['sushi', '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": ["the rolls are creative and i have yet to find another sushi place that serves up more inventive yet delicious japanese food ."], "output": "[['rolls', 'food style_options', 'positive', 'creative'], ['japanese food', 'food style_options', 'positive', 'inventive'], ['japanese 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": ["my quesadilla tasted like it had been made by a three - year old with no sense of proportion or flavor ."], "output": "[['quesadilla', 'food quality', 'negative', 'NULL'], ['quesadilla', '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": ["save your money and your time and go somewhere else ."], "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 spinach is fresh , definately not frozen . . ."], "output": "[['spinach', '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": ["decor needs to be upgraded but the food is amazing !"], "output": "[['decor', 'ambience general', 'negative', 'upgraded'], ['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": ["my daughter ' s wedding reception at water ' s edge received the highest compliments from our guests ."], "output": "[[\"water ' s edge\", 'restaurant miscellaneous', 'positive', 'highest compliments']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} +{"task_type": "generation", "dataset": "acos", "input": ["the high prices you ' re going to pay is for the view not for the food ."], "output": "[['view', 'location general', 'neutral', 'high prices'], ['food', 'food quality', 'negative', 'high prices'], ['NULL', 'restaurant prices', 'negative', 'high prices']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD 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 what i would expect for the price and prestige of this location ."], "output": "[['location', 'restaurant prices', 'neutral', 'NULL'], ['location', 'restaurant miscellaneous', 'neutral', '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": ["the food was ok and fair nothing to go crazy ."], "output": "[['food', 'food quality', 'neutral', 'ok'], ['food', 'food quality', 'neutral', '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": ["impressed . . ."], "output": "[['NULL', 'restaurant 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": ["subtle food and service"], "output": "[['food', 'food quality', 'positive', 'subtle'], ['service', 'service general', '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": ["food took some time to prepare , all worth waiting for ."], "output": "[['food', 'food quality', 'positive', 'worth'], ['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": ["great find in the west village !"], "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": ["when the bill came , nothing was comped , so i told the manager very politely that we were willing to pay for the wine , but i did n ' t think i should have to pay for food with a maggot in 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": ["amazing food ."], "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": ["rather than preparing vegetarian dish , the chef presented me with a plate of steamed vegetables ( minus sauce , seasoning , or any form or aesthetic presentation ) ."], "output": "[['vegetarian dish', 'food quality', 'negative', 'NULL'], ['vegetarian dish', 'food style_options', 'negative', 'NULL'], ['chef', '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 strikes you is the decor ? ( not very pleasant ) ."], "output": "[['decor', 'ambience general', 'negative', 'not very 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": ["the martinis are amazing and very fairly priced ."], "output": "[['martinis', 'drinks quality', 'positive', 'amazing'], ['martinis', '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": ["i wanted to go there to see if it was worth it and sadly , curiousity got the best of me and i paid dearly for it ."], "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": ["the environment is very upscale and you will see a lot of rich guys with trophy wives or just highly paid escorts ."], "output": "[['environment', 'ambience general', 'neutral', 'upscale'], ['NULL', 'restaurant miscellaneous', 'neutral', '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": ["however , our $ 14 drinks were were horrible !"], "output": "[['drinks', 'drinks quality', 'negative', 'horrible'], ['drinks', 'drinks prices', '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": ["once we finally got a table , despite indicating we wanted an alla carte menu we were pushed into a table that was only price fixed !"], "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 do n ' t appreciate places or people that try to drive up the bill without the patron ' s knowledge so that was a huge turnoff ( more than the price ) ."], "output": "[['NULL', 'service 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": ["eat at your own risk ."], "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 service was spectacular as the waiter knew everything about the menu and his recommendations were amazing !"], "output": "[['service', 'service general', 'positive', 'spectacular'], ['waiter', '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": ["the sake \u2019 s complimented the courses very well and is successfully easing me into the sake world ."], "output": "[['sake \u2019 s', 'drinks 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": ["maybe it was the great company ( i had friends visiting from philly \u2013 yes , it was not a date this time ) or the super reasonable price point , but i just can \u2019 t say enough good things about this brasserie ."], "output": "[['brasserie', 'restaurant general', 'positive', 'good'], ['brasserie', '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": ["i tried a couple other dishes but was n ' t too impressed ."], "output": "[['dishes', 'food quality', 'neutral', \"n ' t too 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 family seafood entree was very good ."], "output": "[['family seafood 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": ["the food they serve is not comforting , not appetizing and uncooked ."], "output": "[['food', 'food quality', 'negative', 'not comforting'], ['food', 'food quality', 'negative', 'not appetizing'], ['food', 'food quality', 'negative', 'uncooked']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} +{"task_type": "generation", "dataset": "acos", "input": ["supercilious scorn is in ."], "output": "[['NULL', 'service general', 'negative', 'supercilious']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \" Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' "} +{"task_type": "generation", "dataset": "acos", "input": ["single worst restaurant in manhattan"], "output": "[['restaurant', '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": ["it is quite a spectacular scene i ' ll give them that ."], "output": "[['scene', 'ambience general', '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": ["how this place survives the competitive west village market in this economy , or any other for that matter , is beyond me ."], "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": ["though it ' s been crowded most times i ' ve gone here , bark always delivers on their food ."], "output": "[['bark', 'restaurant miscellaneous', 'neutral', '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": ["but nonetheless - - great spot , great food ."], "output": "[['spot', 'restaurant 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": ["the food and service were fine , however the maitre - d was incredibly unwelcoming and arrogant ."], "output": "[['food', 'food quality', 'positive', 'fine'], ['service', 'service general', 'positive', 'fine'], ['maitre - d', 'service general', 'negative', 'unwelcoming'], ['maitre - d', 'service general', 'negative', 'arrogant']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD 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 word to the wise : you ca n ' t dine here and disturb the maitre - d ' s sense of ` ` table turnover ' ' , as whacked as it is , or else ."], "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": ["i had the lamb special which was perfect ."], "output": "[['lamb special', '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": ["do n ' t go to 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": ["when the main course finally arrived ( another 45mins ) half of our order was missing ."], "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": ["when we threatened to leave , we were offered a meager discount even though half the order was missing ."], "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 bread was stale , the salad was overpriced and empty ."], "output": "[['bread', 'food quality', 'negative', 'stale'], ['salad', 'food prices', 'negative', 'overpriced'], ['salad', 'food style_options', '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": ["shame on this place for the horrible rude staff and non - existent customer service ."], "output": "[['staff', 'service general', 'negative', 'horrible'], ['staff', 'service general', 'negative', 'rude'], ['customer service', 'service general', 'negative', 'non - existent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example: Sentence: \"Also it's not a true SSD drive 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 ."], "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']] ' "}