diff --git "a/Generation/test.jsonl" "b/Generation/test.jsonl"
new file mode 100644--- /dev/null
+++ "b/Generation/test.jsonl"
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+{"task_type": "generation", "dataset": "acos", "input": ["the unit cost $ 275 to start with , so it is not worth repairing ."], "output": "[['unit', 'laptop price', 'negative', 'not worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["going from acer 15 to acer 11 was difficult , 11 inches seems too small for me ."], "output": "[['acer 11', 'laptop design_features', 'negative', 'difficult'], ['acer 11', 'laptop design_features', 'negative', 'small']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["also it ' s not a true ssd drive in there but emmc , which makes a difference ."], "output": "[['ssd drive', 'hard_disc operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the computer has difficulty switching between tablet and computer ."], "output": "[['computer', 'laptop usability', 'negative', 'difficulty']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["2 / 28 / 18 - a couple days ago i updated the chrome os ."], "output": "[['chrome os', 'os general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it ' s just that chrome doesn ' t work the same with a chromebook as it does with windows ."], "output": "[['chrome', '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": ["hopefully in 10 years they ' ll have this figured out and it won ' t suck so badly ."], "output": "[['NULL', 'laptop general', 'negative', 'suck'], ['NULL', 'laptop general', 'negative', 'badly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["bought this last year on july ."], "output": "[['NULL', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i rarely use the keyboard ."], "output": "[['keyboard', 'keyboard general', 'negative', 'rarely']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["- great price for a touchscreen chromebook"], "output": "[['touchscreen chromebook', 'laptop price', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it is glitchy , and barely usable ."], "output": "[['NULL', 'hardware operation_performance', 'negative', 'glitchy'], ['NULL', 'hardware operation_performance', 'negative', 'barely usable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive 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 one , the touch pad failed to work consistently ."], "output": "[['touch pad', 'hardware operation_performance', 'negative', 'failed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i often find i ' ve typed an entire sentence ( or more ) with my fingers on the wrong keys , which is very unproductive when trying to take real - time notes in a meeting !"], "output": "[['keys', 'keyboard general', 'negative', 'unproductive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i know it only takes a few seconds , but a new device should not be doing this and makes me question if it ' ll get worse in the future ."], "output": "[['device', 'laptop general', 'negative', 'worse']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i also have to press the trackpad very hard for left click ( not as badly as the first unit , though ) , and i lost right click functionality on the track pad 2 days into my voyage with this thing ."], "output": "[['track pad', 'keyboard usability', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i tried factory resetting after i updated the os , and it still drained 9 % over 8 hours ."], "output": "[['os', 'os 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": ["hdmi out doesn ' t work right ."], "output": "[['hdmi', 'ports quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["they had it over a week and then shipped back ."], "output": "[['NULL', 'support general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i was excited to receive this chromebook , only to watch that excitement dissipate within mere hours as i noticed the touchscreen did n ' t work at all on tablet mode ."], "output": "[['touchscreen', 'hardware operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["clearly there is some kind of major defect here that acer has n ' t resolved ."], "output": "[['acer', 'company general', 'negative', 'defect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i bought this for my daughter to use to take online classes while she ' s overseas in europe for a year ."], "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": ["decent sound quality ."], "output": "[['sound', 'multimedia_devices quality', 'positive', 'decent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["flimsy power adapter ."], "output": "[['power adapter', 'power_supply general', 'negative', 'flimsy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["wi - fi slows down to crowl and speeds back up intermittently ."], "output": "[['wi - fi', 'ports 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": ["regret buying it at times ."], "output": "[['NULL', 'laptop general', 'negative', 'regret']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it just turned off and will not turn back on ."], "output": "[['NULL', 'laptop quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the product is great , but the customer support is horrible ."], "output": "[['product', 'laptop general', 'positive', 'great'], ['customer support', 'support general', 'negative', 'horrible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["called support a second time after 10 minutes of verifying some type of info they told me to call google without even trying to help ."], "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": ["but i ' m getting into photography now , and it ' s terrible for loading , storing , and editing pictures ."], "output": "[['NULL', 'laptop operation_performance', '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 have sent it in twice already and waiting for it to come back ."], "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": ["the screen looked great ."], "output": "[['screen', 'display general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["no matter how many times i reinserted the charging adapter , i kept getting this message ."], "output": "[['charging adapter', '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 had no option but to shut down the computer , unplug it , plug it back in , and then reboot ."], "output": "[['computer', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it has worked well except for an initial hiccup on turning it on ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the screen flashes for a second every 30 seconds or so ."], "output": "[['screen', 'display operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i noticed the battery went down to 67 % for no reason ."], "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": ["works good but the fan kicks in pretty often , which is to keep the laptop cool but the sound is annoying ."], "output": "[['fan', 'fans&cooling operation_performance', 'negative', 'annoying'], ['sound', 'fans&cooling operation_performance', 'negative', 'annoying']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["nano edge display is nice ."], "output": "[['nano edge display', 'display 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": ["everything was fine and i went out for an hour ."], "output": "[['NULL', 'laptop general', 'positive', 'fine']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the audio is almost impossible to hear ."], "output": "[['audio', 'multimedia_devices operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it is slow to do everything ."], "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": ["here ' s the kicker : it is doing a terrible job running dragon age ."], "output": "[['NULL', 'laptop operation_performance', '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": ["it doesn ' t has backlit keyboard : ( typing in low light is such a pain ."], "output": "[['backlit keyboard', 'keyboard design_features', 'negative', 'pain']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["very disappointed in how slow it seems ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'disappointed'], ['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": ["keyboard and mouse pad seem fine , but overall it seems strangely slow ."], "output": "[['keyboard', 'keyboard design_features', 'positive', 'fine'], ['mouse pad', 'keyboard design_features', 'positive', 'fine'], ['NULL', 'laptop general', 'negative', 'slow']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i have been using this for just 3 months ."], "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": ["crazy keypad : this issue is even worse ."], "output": "[['keypad', 'keyboard general', 'negative', 'crazy'], ['keypad', 'keyboard general', 'negative', 'worse']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["overall , the laptop has a solid feel to it ."], "output": "[['laptop', 'laptop general', 'positive', 'solid']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this lead me to believe that although i purchased a \u201c new \u201d product , they sent me a refurbished one instead ."], "output": "[['product', 'laptop quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i ' m out from us , i live in colombia , and maybe i can not return these laptop ."], "output": "[['laptop', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i like the speed , the processor the hybrid storage units ( 128ssd and 1tera ) , but the web cam sucks , really poor resolution and the keyboard doesn ' t have the numerical part and the caps lock or num lock don ' t have any light or guide to help you ."], "output": "[['processor', 'cpu operation_performance', 'positive', 'like'], ['hybrid storage units', 'memory general', 'positive', 'like'], ['web cam', 'hardware operation_performance', 'negative', 'sucks'], ['web cam', 'hardware operation_performance', 'negative', 'poor'], ['keyboard', 'keyboard design_features', 'negative', 'NULL'], ['caps lock', 'keyboard design_features', 'negative', 'NULL'], ['num lock', 'keyboard design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["lightweight ."], "output": "[['NULL', 'laptop design_features', 'positive', 'lightweight']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["yesterday the backlight went out ."], "output": "[['backlight', 'keyboard operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it was brand new out of the box , i ' ve never dropped 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": ["now i have to deal with warranty stuff and sending it back etc ."], "output": "[['warranty stuff', 'warranty general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["ram upgrade available"], "output": "[['ram', 'hardware general', 'positive', 'available']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["hard drive upgrade available"], "output": "[['hard drive', 'memory operation_performance', 'positive', 'available']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i had issues with the touchpad sticking or not responding to click correctly from the start ."], "output": "[['touchpad', 'hardware operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it ' s still a mainly functional computer , but using it is just not the greatest ."], "output": "[['computer', 'laptop general', 'neutral', 'functional'], ['computer', 'laptop general', 'neutral', 'not the greatest']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["we ' ve had the computer for 5 weeks , used it a total of less than 20 hours , and now it will be gone for 3 weeks ."], "output": "[['computer', 'laptop general', 'neutral', 'NULL'], ['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i send it to asus warranty and now after a week they ' re sending it back stating the no problem was found ."], "output": "[['asus warranty', '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": ["display stop working within 2 months ."], "output": "[['display', '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": ["since it came with no user manual , i had to call asus customer support and got someone who knew all about windows 10 software but nothing about my asus notebook ."], "output": "[['asus customer support', 'support operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["after reading all the bad reviews , just sent it back for a refund ."], "output": "[['NULL', 'laptop quality', 'negative', 'bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["all over this asus laptop which has a non - functioning touchpad ."], "output": "[['asus laptop', 'laptop general', 'negative', 'NULL'], ['touchpad', 'hardware quality', 'negative', 'non - functioning']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["my screen broke when just putting a textbook on it ."], "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": ["don ' t even bother calling customer support , in my experience , they do you no good ."], "output": "[['customer support', 'support general', 'negative', 'no 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 needs to be redesigned entirely ."], "output": "[['keyboard', 'keyboard design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["6 ` ` screen is big enough to read with ease , yet the item itself is light enough to tote to meetings ."], "output": "[['NULL', 'display design_features', 'positive', 'big'], ['NULL', 'display design_features', 'positive', 'ease'], ['item', 'laptop portability', 'positive', 'light']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["so far , this looks as if it meets my needs as a good ` ` work machine . ` `"], "output": "[['work machine', 'laptop general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["after exactly one year of useage this computer completely stopped working ."], "output": "[['computer', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it boots up in 10 seconds and shuts down in 2 to 3 seconds ."], "output": "[['boots up', 'laptop operation_performance', 'positive', 'NULL'], ['shuts down', 'laptop operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i like the idea that the keyboard lights up and has a ` ` time out ` ` feature to shut off ."], "output": "[['keyboard', 'keyboard design_features', 'positive', 'like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it seems put together 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": ["what they lack in size , they make up for in raw speed , durability , and energy efficiency ."], "output": "[['NULL', 'laptop design_features', 'negative', 'NULL'], ['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": ["+ decent quantity of available ports"], "output": "[['ports', 'ports quality', 'positive', 'decent'], ['ports', 'ports quality', 'positive', 'available']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["+ it has a dvd drive : o"], "output": "[['dvd 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": ["- it runs hot !"], "output": "[['NULL', 'laptop quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["running grid benchmark , it got to a high 92 / 93 degrees c !"], "output": "[['NULL', 'laptop quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["- new i5 mobile processor ."], "output": "[['i5 mobile processor', 'cpu 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": ["- ddr4 ram that is upgradable ."], "output": "[['ddr4 ram', 'memory general', 'positive', 'upgradable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD 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 decent battery life ."], "output": "[['battery life', 'battery operation_performance', '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": ["so far i am pleasantly impressed with this unit , however i have not used it a long time or tested many applications to date ."], "output": "[['unit', 'laptop general', 'positive', 'pleasantly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive 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 certainly say this is the best laptop i ' ve ever had ( but then again i ' ve only had 3 , and you would expect these things to improve over time , right ) ."], "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": ["i ' ve been using it for at least 4 hours since last charged in that 23 % used up ."], "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": ["- as others have mentioned , the keyboard backlight turns off after just a few seconds of not typing , which can be annoying and there doesn ' t seem to be a way to change this ."], "output": "[['keyboard backlight', 'keyboard operation_performance', 'negative', 'annoying']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["- easily upgradeable ram"], "output": "[['ram', 'memory usability', 'positive', 'upgradeable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD 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 feature that i love is the ability to disable the touchpad from the keyboard ."], "output": "[['touchpad', 'keyboard design_features', 'positive', 'love'], ['keyboard', 'keyboard design_features', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it ' s not fancy , but it ' s good value and fast and trouble - free ."], "output": "[['NULL', 'laptop design_features', 'neutral', 'not fancy'], ['NULL', 'laptop operation_performance', 'positive', 'good'], ['NULL', 'laptop operation_performance', 'positive', 'fast'], ['NULL', 'laptop operation_performance', 'positive', 'trouble - free']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD 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 spending some time with it , the feature can really be useful ."], "output": "[['feature', 'keyboard design_features', 'positive', 'useful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["easily upgrade to storage and ram ."], "output": "[['ram', 'memory usability', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this does not really matter to me because the mx150 is enough for my needs ."], "output": "[['mx150', 'graphics design_features', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i love the solid state drive , as reviews or ads say you can boot up and get onto internet in 10 to 15 seconds ."], "output": "[['solid state drive', 'hard_disc general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it ' s not a ` ` gaming ` ` laptop even it can do some more casual gaming ."], "output": "[['laptop', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it ' s super fast , boots up in seconds ."], "output": "[['boots up', 'laptop operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i am very impressed with this system ."], "output": "[['system', 'os operation_performance', 'positive', 'impressed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["mastercam itself runs pretty good ."], "output": "[['mastercam', 'multimedia_devices 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": ["as usual amazon was great about returning it ."], "output": "[['amazon', 'support 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": ["screen is decent , not great , it is matte finished ."], "output": "[['screen', 'display design_features', 'positive', 'decent'], ['screen', 'display design_features', 'positive', 'not great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i like the back lit keyboard ."], "output": "[['back lit keyboard', 'keyboard design_features', 'positive', 'like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it ' s a lot of good for a comparatively cheap price ."], "output": "[['NULL', 'laptop price', 'positive', 'good'], ['NULL', 'laptop price', 'positive', 'cheap']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the screen is perfectly adequate ."], "output": "[['screen', 'display operation_performance', 'positive', 'perfectly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this thing boots up super quick and it sleek and beautiful ."], "output": "[['boots up', 'laptop operation_performance', 'positive', 'quick'], ['NULL', 'laptop design_features', 'positive', 'sleek'], ['NULL', 'laptop design_features', 'positive', 'beautiful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["google and partners have done great with chromebooks and have plenty of features to accommodate ."], "output": "[['google and partners', 'company general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i would highly recommend this to anyone , but especially to someone wanting something that is affordable , easy to use and just a bit more than a tablet ."], "output": "[['NULL', 'laptop price', 'positive', 'affordable'], ['NULL', 'laptop usability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i ' m getting very used to the multiple finger shortcuts on the touch pad when navigating chrome ."], "output": "[['touch pad', 'keyboard usability', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this thing is still fantastic for what it is ."], "output": "[['NULL', 'laptop general', 'positive', 'fantastic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i chose to purchase a samsung chromebook this time just to try out a different company and because it was inexpensive ( i paid $ 189 ."], "output": "[['samsung 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": ["i couldn ' t be happier with this product !"], "output": "[['product', 'laptop general', 'positive', \"' t be happier\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the screen hinge is super strong and it ' s hard to imagine it breaking unless you dropped it ."], "output": "[['screen hinge', 'display quality', 'positive', 'strong']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the size is perfect , it ' s easy to toss it in my satchel or backpack along with my textbook and notebooks and have plenty of room ."], "output": "[['size', 'laptop design_features', 'positive', 'perfect'], ['NULL', 'laptop portability', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["works great right out of the box , as advertised ."], "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": ["the battery life on this seems good ."], "output": "[['battery life', 'battery operation_performance', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this chromebook instantly connects to the internet ."], "output": "[['chromebook', 'laptop connectivity', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["going to a grocery store or fitness center , the android tablets took so long to connect that i finished my shopping before they came online ."], "output": "[['android tablets', '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": ["everything is 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": ["powers up immediately , great battery life , great keyboard , amazing features ."], "output": "[['powers up', 'laptop operation_performance', 'positive', 'NULL'], ['battery life', 'battery general', 'positive', 'great'], ['keyboard', 'keyboard general', 'positive', 'NULL'], ['NULL', 'laptop design_features', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["was considering an apple product but i ' m much happier with this !"], "output": "[['NULL', 'laptop general', 'positive', 'happier']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this is my third samsung chromebook and i will continue to use this brand ."], "output": "[['samsung chromebook', 'laptop general', 'positive', 'NULL'], ['brand', 'company general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["does not act like a tablet , but it can have almost 10 tabs open before affecting performance , including video streaming ."], "output": "[['tablet', 'laptop operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this was purchased for my son to download his high school textbooks for use ."], "output": "[['NULL', 'laptop usability', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["great price for a good book used for college students who carry all day"], "output": "[['book', 'laptop general', 'positive', 'good'], ['book', 'laptop price', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i bought this refurbished and haven ' t experienced any issues ."], "output": "[['NULL', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this laptop is very straight forward ."], "output": "[['laptop', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["otherwise , it ' s 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": ["also , secure os ."], "output": "[['os', 'os operation_performance', 'positive', 'secure']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the product itself is awesome ."], "output": "[['product', 'laptop general', 'positive', 'awesome']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["great little laptop and tablet !"], "output": "[['laptop', 'laptop general', 'positive', 'great'], ['tablet', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the chormebook works as described by seller ."], "output": "[['chormebook', 'laptop operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i like the size and features ."], "output": "[['NULL', 'laptop design_features', 'positive', 'like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["however , still 5 stars as you get what you pay for : a cheap , decently rugged , light weight notebook to kick around and tinker with ."], "output": "[['notebook', 'laptop price', 'positive', 'cheap'], ['notebook', 'laptop design_features', 'positive', 'decently'], ['notebook', '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": ["love the keyboard ."], "output": "[['keyboard', 'keyboard general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i am still getting use to the chromebook but i love it lightweight easy to bring with me as it doesnt take up much room !"], "output": "[['chromebook', 'laptop general', 'positive', 'love'], ['chromebook', 'laptop design_features', 'positive', 'lightweight'], ['chromebook', '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": ["i am so glad i purchased this and would definitely purchase again ."], "output": "[['NULL', 'laptop general', 'positive', 'glad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["since it is the same platform used at school the navigation was easy to get used too ."], "output": "[['navigation', '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": ["great for going on the internet ."], "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": ["it works well for her ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["we ran world of tank blitz ( using a game controller ) and roblocks on the low rez settings and experienced great appearance and ability to play ."], "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": ["another little thing is the speaker isn ' t loud ."], "output": "[['speaker', 'multimedia_devices operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["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": ["great battery life ."], "output": "[['battery life', 'battery operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["easy to take with and do homework on the go too !"], "output": "[['NULL', 'laptop portability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i would recommend it to anyone ."], "output": "[['NULL', 'laptop general', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this is 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": ["battery life , speed , display and software were my additional top reasons why i went for the samsung ."], "output": "[['battery life', 'battery general', 'positive', 'NULL'], ['samsung', 'laptop operation_performance', 'positive', 'NULL'], ['display', 'display general', 'positive', 'NULL'], ['software', 'software general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the display is crisp and bright , setup literally takes under a minute , its fast , cheap , charges fast , lasts forever ."], "output": "[['display', 'display quality', 'positive', 'crisp'], ['display', 'display quality', 'positive', 'bright'], ['setup', 'os operation_performance', 'positive', 'fast'], ['setup', 'os operation_performance', 'positive', 'cheap'], ['NULL', 'power_supply operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["nice , i ordered this just for simple web browsing and personal use ."], "output": "[['NULL', 'laptop general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i love my 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": ["it is taking me a while to get used to the small , tight keyboard ."], "output": "[['keyboard', 'keyboard design_features', 'negative', 'small'], ['keyboard', 'keyboard design_features', 'negative', '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": ["after researching for a high quality laptop that would not break the bank , i finally chose this one ."], "output": "[['laptop', 'laptop quality', 'positive', 'high']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["delivery was a bit off but i blame usps on that , they suck in my area ."], "output": "[['delivery', 'shipping general', 'negative', 'off'], ['usps', 'shipping general', 'negative', 'suck']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["amd a12 processor is quite fast when loading everything from an ssd ."], "output": "[['amd a12 processor', 'cpu operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["light for its size , not much flex in the body ."], "output": "[['NULL', 'laptop design_features', 'positive', 'light']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["stop what you ' re doing now and get this computer !"], "output": "[['computer', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this computer is the best thing you can get under 400 dollars ."], "output": "[['computer', '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": ["great functioning 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": ["excellent laptop at a reasonable price ."], "output": "[['laptop', 'laptop general', 'positive', 'excellent'], ['laptop', '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": ["this laptop does all i need it to do ."], "output": "[['laptop', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["works flawlessly and decent battery life ."], "output": "[['battery', 'battery operation_performance', 'positive', 'decent'], ['NULL', 'laptop operation_performance', 'positive', 'flawlessly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["excelente laptop"], "output": "[['laptop', 'laptop general', 'positive', 'excelente']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["great for graphics , nothing to complex but it can get the job done"], "output": "[['graphics', 'graphics 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": ["about what i was expecting / hoping it 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": ["it has been able to handle everything i ' ve needed for my business ."], "output": "[['NULL', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it is fast enough for what we do , and it has all the features we needed for less ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'fast'], ['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": ["love our new laptop ."], "output": "[['laptop', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["battery could last longer ."], "output": "[['battery', 'battery quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["light weight , good battery life , sharp screen ."], "output": "[['NULL', 'laptop design_features', 'positive', 'light'], ['battery', 'battery general', 'positive', 'good'], ['screen', 'display design_features', 'positive', 'sharp']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["he is very content with it and its features"], "output": "[['NULL', 'laptop general', 'positive', 'content']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD 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 performance , quiet and cool processor ."], "output": "[['processor', 'laptop operation_performance', 'positive', 'great'], ['processor', 'laptop operation_performance', 'positive', 'quiet'], ['processor', 'cpu general', 'positive', 'cool']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the sims 4 ran very smoothly on regular graphics ."], "output": "[['graphics', 'display operation_performance', 'positive', 'smoothly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i was really excited to get this laptop !"], "output": "[['laptop', 'laptop general', 'positive', 'excited']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["runs first person shooters relatively well ."], "output": "[['first person shooters', 'software operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["would definitely buy this again if i needed to do so ."], "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": ["laptop booted right up and the set up waa super easy ."], "output": "[['laptop', 'laptop operation_performance', 'positive', 'NULL'], ['laptop', '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 ones that do , doesn ' t have the numbering pad on the right side of the keyboard and i needed that ."], "output": "[['keyboard', 'keyboard design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it ' s a very good lappy and i ' m happy with it , because it can still get all i need to do , done ."], "output": "[['lappy', 'laptop general', 'positive', 'good'], ['lappy', '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": ["nice and thin , light , surprised it has a dvd player in it ."], "output": "[['NULL', 'laptop design_features', 'positive', 'thin'], ['NULL', 'laptop design_features', 'positive', 'light'], ['NULL', 'laptop design_features', 'positive', 'surprised'], ['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": ["for my needs it ' s a perfect computer with one major flaw : battery life is much shorter than they advertise !"], "output": "[['computer', 'laptop general', 'positive', 'perfect'], ['battery life', 'battery operation_performance', 'negative', 'shorter']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["mine did lose its screen backlight suddenly when i ' d had it less than a month ."], "output": "[['screen', 'display quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["fast processor ."], "output": "[['processor', 'cpu operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["if you want a laptop ( not for gaming - reviews say - i have not tried ) get this one !"], "output": "[['laptop', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i think the battery is just undersized for the amd a12 apu ."], "output": "[['battery', 'battery design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this is an excellent laptop with a lot of heart ."], "output": "[['laptop', 'laptop general', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the dvd player is a really nice touch as well , i didn ' t think i would use it but i definitely will in the future !"], "output": "[['dvd player', 'optical_drives 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": ["has all the available ports that i need ."], "output": "[['ports', 'ports general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["laptop is very fast with 4cpu and 8gpu on board ."], "output": "[['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": ["great computer , you can play 2015 and below games on this 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": ["great laptop !"], "output": "[['laptop', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["she can stream music or videos , do her homework , and so on , so we are all pleased with our purchase ."], "output": "[['NULL', 'laptop general', 'positive', 'pleased']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["cpu performance does well ."], "output": "[['cpu', 'cpu operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i bought this for college to do my homework and also pay my bills ."], "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": ["really like it ."], "output": "[['NULL', 'laptop general', 'positive', 'like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["played heroes of the storm with graphics up full and wasn ' t any lag ."], "output": "[['graphics', 'graphics 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": ["webpages load quickly ."], "output": "[['NULL', 'software operation_performance', 'positive', 'quickly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["but i guess , it ' s got a lot of power going to that processor so you can ' t have it all ."], "output": "[['processor', 'cpu 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": ["for us , it was 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": ["i got ta say this was my first ever online computer / laptop order and let me tell you its pretty good ."], "output": "[['computer', 'laptop general', 'positive', 'good'], ['laptop', 'laptop general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i love how sleek and thin it is ."], "output": "[['NULL', 'laptop design_features', 'positive', 'love'], ['NULL', 'laptop design_features', 'positive', 'sleek'], ['NULL', '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": ["great feel to the keyboard as well ."], "output": "[['keyboard', 'keyboard usability', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this is a super fast computer and i really like it ."], "output": "[['computer', 'laptop operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it ' s so far a solid laptop that i can use for some gaming and school ."], "output": "[['laptop', 'laptop general', 'positive', 'solid']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i purchased the laptop in august , and i already have a couple of keys popping off ."], "output": "[['laptop', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i almost always keep it plugged in , so i can ' t comment on battery life ."], "output": "[['battery life', 'battery general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["battery life is short , but plugging it in works ."], "output": "[['battery life', 'battery operation_performance', 'negative', 'short']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["sleek design ."], "output": "[['design', 'laptop design_features', 'positive', 'sleek']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["easy to use ."], "output": "[['NULL', 'laptop usability', 'positive', 'easy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["nice computer for responsible grade school child ."], "output": "[['computer', '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 laptop is well engineered and designed ."], "output": "[['laptop', '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": ["this is a very nice laptop ."], "output": "[['laptop', 'laptop general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it is perfect for everything i need it for ."], "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": ["provided just what i wanted at a resonable price ."], "output": "[['NULL', 'laptop price', 'positive', 'resonable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD 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 fast and does what i need without problems ."], "output": "[['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": ["great price and great performance but terrible battery ."], "output": "[['NULL', 'laptop price', 'positive', 'NULL'], ['NULL', 'laptop operation_performance', 'positive', 'NULL'], ['battery', 'battery general', 'negative', 'terrible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it is a little slow ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'slow']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["great computer , setup was fast and easy ."], "output": "[['computer', 'laptop general', 'positive', 'great'], ['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": ["i am inlove with this laptop literally , it ' s nice size 15 ."], "output": "[['laptop', '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": ["graphics are good for the level of this laptop ."], "output": "[['graphics', '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": ["finally got the warranty honored after almost 6 months ."], "output": "[['warranty', 'warranty general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["plenty of buyer returned it since the touch screen has phantom touch problems right after unboxing or it will eventually happen within 3 months ."], "output": "[['touch screen', 'display quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["consequently , i am no longer covered and my otherwise great chromebook becomes unusable anytime the phantom touches appear ."], "output": "[['chromebook', 'laptop general', 'positive', 'great'], ['phantom touches', 'keyboard general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i have tried to fix the pixel with online videos and websites with no effect ."], "output": "[['pixel', 'display operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the beautiful screen is said to be identical to the pixelbook in size , aspect ratio , and resolution ."], "output": "[['screen', 'display design_features', 'positive', 'beautiful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["after using the 3 : 2 aspect ratio , i think i prefer it to normal 16 : 9 , as far as chromebooks go ."], "output": "[['NULL', 'display design_features', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it was fine for a solid two days , from there on it has been nonstop , reset to factory settings ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'fine'], ['NULL', 'laptop operation_performance', 'positive', 'solid'], ['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": ["idk if that ' s how chromeos usually is , or maybe there is something wrong with the hardware but this is very annoying ."], "output": "[['hardware', 'hardware quality', 'negative', 'annoying']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i get that this is meant to store everything in the cloud so it should be no big deal , but when your trying to get work done where there is no access to the internet ( since google docs works offline ) it is practically useless when it has to reset itself to factory settings just after turning it on ."], "output": "[['NULL', 'os design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the touch screen works wonderfully ."], "output": "[['touch screen', 'display operation_performance', 'positive', 'wonderfully']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD 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 noted , the backspace key is small ."], "output": "[['backspace key', 'keyboard design_features', 'negative', 'small']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["my biggest irk today though is that the screen is not very durable ."], "output": "[['screen', 'display quality', 'negative', 'not very durable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["hard reboot , reset , refresh + power , esc + refresh + power , charging , letting it drain , nothing brought it back to life ."], "output": "[['NULL', 'laptop usability', 'negative', 'hard']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["needless to say trip number three to best buy was a pure return , since being 0 / 2 on such an expensive device leaves a bad taste , you know ?"], "output": "[['device', '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": ["gorgeous screen , small profile , lightweight , built in stylus , i could go on and on about how awesome this thing was ."], "output": "[['screen', 'display design_features', 'positive', 'gorgeous'], ['profile', 'laptop design_features', 'positive', 'small'], ['profile', 'laptop design_features', 'positive', 'lightweight'], ['stylus', 'hardware 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": ["this review might be dismissed as i am missing the ` ` verified purchase ` ` stamp , which is fair ."], "output": "[['verified purchase', 'support general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i wouldn ' t recommend this as a starting computer for children because they ' d learn incorrect navigation and have to adapt later to standard laptops ."], "output": "[['NULL', 'laptop operation_performance', 'negative', '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": ["look , dont buy it ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the screen does look 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": ["terrible quality and not really enjoyable to use apps on the playstore ."], "output": "[['NULL', 'laptop quality', 'negative', 'terrible'], ['apps', 'software general', 'negative', 'not really 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": ["battery life its ok ."], "output": "[['battery life', 'battery general', 'neutral', 'ok']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["then i got it home , worked with it for awhile , and realized just how easy it is to misfire unless you land dead nuts center in the middle of the key on your stroke ."], "output": "[['NULL', 'keyboard general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["another star off for android app support , which simply isn ' t ready for prime time ."], "output": "[['android app support', 'software quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i didn ' t find a single android app that was optimized for chrome os ( not that my search was exhaustive , admittedly ) , so was disappointed pretty much every time ."], "output": "[['android app', 'software design_features', '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": ["battery life was mediocre , too , come to think of it ."], "output": "[['battery life', 'battery general', 'neutral', 'mediocre']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["amazon gave me the option of returning for refund or trying to have it repaired ."], "output": "[['amazon', 'support general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["battery is good , display and keyboard are pretty great ."], "output": "[['battery', 'battery general', 'positive', 'good'], ['display', 'display general', 'positive', 'great'], ['keyboard', 'keyboard general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["there ' s nothing ` ` pro ` ` about this tablet ."], "output": "[['tablet', '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": ["unless it ' s a really bad baby and chromeos + samsung = bad baby !"], "output": "[['chromeos', 'laptop general', 'negative', 'NULL'], ['samsung', 'company general', 'negative', 'NULL'], ['samsung', 'company general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["sounds nice until you realize that your computer just doesn ' t let you do things and then calls it secure ."], "output": "[['computer', 'laptop design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the keyboard lacks a backlight which is inconvenient in low light situations ."], "output": "[['keyboard', 'keyboard usability', 'negative', 'inconvenient']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["when you stack up all these strengths and offer them at a price of $ 299 , you ' re getting a fairly impressive value proposition here with this chromebook ."], "output": "[['chromebook', 'laptop price', '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 $ 300 , this is a great purchase ."], "output": "[['NULL', 'laptop price', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["which leads me to my next point , the omnipresent comments about ` ` this feels like a $ 1000 computer ! ` `"], "output": "[['NULL', 'laptop price', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this isn ' t say the acer is bad in the abstract ; far from it ."], "output": "[['acer', 'company general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it has a nice , oversize trackpad that - like pretty much all chromebooks - is responsive and a pleasure to use ."], "output": "[['trackpad', 'keyboard design_features', 'positive', 'nice'], ['trackpad', 'keyboard design_features', 'positive', 'oversize'], ['trackpad', 'keyboard operation_performance', 'positive', 'responsive'], ['trackpad', 'keyboard operation_performance', 'positive', 'pleasure']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the performance never lags , it meets the 10 - 12 hour battery life promise in my usage tests , and it ' s quickly become my go - to computer for both home and work ."], "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": ["this unit not only has a nice aluminum shell ( which is very attractive ) , but it also has a decent keyboard , with much better tactile properties than any chromebooks i ' ve looked at in the past ."], "output": "[['aluminum shell', 'laptop design_features', 'positive', 'nice'], ['aluminum shell', 'laptop design_features', 'positive', 'attractive'], ['keyboard', 'laptop design_features', 'positive', 'decent'], ['keyboard', 'laptop design_features', 'positive', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["when i was comparing this model against other manufacturer ' s / model ' s , the only thing that made me pause was the lack of a card reader / writer ."], "output": "[['card reader / writer', 'ports general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i 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": ["this isn ' t a powerhouse , i ' ve never pushed it , it probably wouldn ' t handle the 20 + tabs over multiple windows / desktops that i ' m used to on chrome on the desktop , but for 99 % of ` ` regular people ` ` this is an unbelievably good laptop ."], "output": "[['it', '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": ["the battery life is incredible and charges from 0 % to 100 % in about an hour and a half while in use ."], "output": "[['battery life', 'battery operation_performance', 'positive', 'incredible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["overall , it performs well enough for my daily internet needs ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["my only wish is that it were a little more quick / less laggy given it is a chromebook - but for the price point its a great buy ."], "output": "[['NULL', 'laptop price', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["little bit of a learning curve with chrome os ."], "output": "[['chrome os', '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": ["so it appears the play store does not recognize this devise at this time ."], "output": "[['devise', '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": ["chromebook seems like the kind of device that you review after a few weeks , and by the time anything happens to it that affects use , the replacement will be just as much or cheaper , twice as powerful , and come with ` ` angry birds ` ` installed by default ."], "output": "[['chromebook', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the hdmi and usb ports are on the left side , the back has no ports at all , and , misery !"], "output": "[['hdmi and usb ports', 'ports design_features', 'negative', 'misery']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the initial feel for this chromebook is superb ."], "output": "[['chromebook', 'laptop general', 'positive', 'superb']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the quad - core celeron n3160 gets a respectable near - 8000 octane score ."], "output": "[['quad - core celeron n3160', 'cpu operation_performance', '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": ["this is a solid , well - balanced design ."], "output": "[['design', 'laptop design_features', 'positive', 'solid'], ['design', 'laptop design_features', 'positive', 'well - balanced']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["first time chromebook user , and this has been my favorite laptop ever ."], "output": "[['laptop', 'laptop general', 'positive', 'favorite']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i ' m been quite pleased at how well the chromebook has worked for all these tasks ."], "output": "[['chromebook', 'laptop operation_performance', 'positive', 'pleased']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["as for software , chromeos is a decent thin - client operating system which can do more than most people think ."], "output": "[['chromeos', 'os usability', 'positive', 'decent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i was hesitant at first because of the price , but i have to say that this is honestly an amazing machine ."], "output": "[['NULL', 'laptop price', 'neutral', 'hesitant'], ['machine', 'laptop general', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["secondly , this is a really aesthetically pleasing machine ."], "output": "[['machine', 'laptop design_features', 'positive', 'pleasing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["there are , as with everything , several growth opportunities for this model ."], "output": "[['model', '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": ["secondly , the trackpad feels a bit delicate ."], "output": "[['trackpad', 'keyboard quality', 'negative', 'delicate']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the battery is good ."], "output": "[['battery', 'battery general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["if you are looking for a laptop to check emails , watch movies , to shop , basic documentation , then this is an ideal one ."], "output": "[['laptop', 'laptop operation_performance', 'positive', 'ideal']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i have had q & a on this chromebook asking if it will download ms office ."], "output": "[['chromebook', 'laptop usability', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["battery seems to be pretty good ."], "output": "[['battery', 'battery general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["with the slow celeron processor , browsing does not feel snappy ."], "output": "[['celeron processor', 'cpu 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 my second chromebook and my next purchase will be a chromebase to replace my home pc ."], "output": "[['chromebook', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it does everything that i need and is surprisingly fast ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i want to cry because this doesn ' t support google play store !"], "output": "[['NULL', 'laptop design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i ' m a graphic designer / gamer and my creative software operates with no problems and i ' m able to play the sims 4 and world of warcraft on very high settings with no problems at all ."], "output": "[['graphic', 'graphics operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this is a huge plus !"], "output": "[['NULL', 'laptop portability', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["- drives are now solid state drive ."], "output": "[['solid state drive', 'hard_disc 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": ["- new built - in speakers ."], "output": "[['speakers', 'multimedia_devices design_features', 'positive', 'new']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["- no dvd drive ."], "output": "[['dvd drive', 'multimedia_devices general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i couldn ' t drag - and - drop items in it , but after i changed the behavior in settings , everything went well from there ."], "output": "[['NULL', 'hardware operation_performance', 'neutral', '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 is pretty light if you are coming from any other laptop ."], "output": "[['NULL', 'laptop portability', 'positive', 'light']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["very sharp screen and good viewing angles ."], "output": "[['screen', 'display general', 'positive', 'sharp'], ['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": ["something about os x running with a high resolution display just looks classy in a way that a windows computer could never match ."], "output": "[['os x', 'os general', 'positive', 'classy'], ['display', 'display operation_performance', 'positive', 'classy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["no complaints here ."], "output": "[['NULL', 'battery general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this computer is blazing fast ."], "output": "[['computer', 'laptop operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["with os x yosemite , the os is very refined and elegant ."], "output": "[['os x yosemite', 'os operation_performance', 'positive', 'refined'], ['os x yosemite', 'os operation_performance', 'positive', 'elegant'], ['os', 'os operation_performance', 'positive', 'refined'], ['os', 'os operation_performance', 'positive', 'elegant']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the laptop works great and the package was delivered on time ."], "output": "[['laptop', 'laptop operation_performance', 'positive', 'great'], ['package', 'shipping general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this thing is fast and efficient ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'fast'], ['NULL', 'laptop operation_performance', 'positive', 'efficient']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this computer is very high quality , do not believe anything on the market can touch it ."], "output": "[['computer', 'laptop quality', 'positive', 'high']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the backlighting is comparable , but the mbp gets brighter ."], "output": "[['backlighting', 'keyboard general', 'positive', 'comparable'], ['mbp', 'keyboard design_features', 'positive', 'brighter']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the thunderbolt ports are a nice thing to have on the mbp ."], "output": "[['thunderbolt ports', 'ports design_features', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the best laptop i ' ve 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": ["bought it for my grandson for college and 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": ["overall , this is an excellent machine ."], "output": "[['machine', 'laptop general', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["good durability , outstanding performance and portability ."], "output": "[['durability', 'laptop quality', 'positive', 'good'], ['NULL', 'laptop operation_performance', 'positive', 'outstanding'], ['portability', 'laptop portability', '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": ["response is excellent ."], "output": "[['response', 'laptop operation_performance', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["- battery life appears to be excellent"], "output": "[['battery life', 'battery general', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["- laptop is light ."], "output": "[['laptop', 'laptop portability', 'positive', 'light']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["- generous selection of ports ( this is in reference to the newer model )"], "output": "[['ports', 'ports design_features', 'positive', 'generous']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["- laptop is sleek and dare i say , sexy"], "output": "[['laptop', 'laptop design_features', 'positive', 'sleek'], ['laptop', 'laptop design_features', 'positive', 'sexy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i enjoy the processing speed of this model ."], "output": "[['model', 'cpu operation_performance', 'positive', 'enjoy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["fast shipping , product exactly as described , authentic apple , new , factory sealed in box ."], "output": "[['shipping', 'shipping quality', 'positive', 'fast'], ['product', 'laptop 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": ["loving the sharp display and the track pad ."], "output": "[['display', 'display quality', 'positive', 'loving'], ['track pad', 'keyboard 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": ["i am in love with how light and speedy it is ."], "output": "[['NULL', 'laptop design_features', 'positive', 'love'], ['NULL', 'laptop design_features', 'positive', 'light'], ['NULL', 'laptop operation_performance', 'positive', 'love'], ['NULL', 'laptop operation_performance', 'positive', 'speedy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i love this macbook ."], "output": "[['macbook', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["great 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": ["this is an amazing computer i bought from cellelectronics ."], "output": "[['computer', 'laptop general', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["they put a lot of thought and work into making sure that the hardware and software work real well together ."], "output": "[['NULL', 'company general', 'positive', 'NULL'], ['hardware', 'hardware general', 'positive', 'well'], ['software', 'software 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": ["obviously 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": ["very nice laptop , i love its portable feature and the running speed is very fast ."], "output": "[['laptop', 'laptop general', 'positive', 'nice'], ['NULL', 'laptop portability', 'positive', 'love'], ['running speed', 'cpu operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the only issue i have with it ( and hence the four star rating ) is the battery life ."], "output": "[['battery life', 'battery operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it is thinner , and lighter ."], "output": "[['NULL', 'laptop design_features', 'positive', 'thinner'], ['NULL', 'laptop design_features', 'positive', 'lighter']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["awesome computer ."], "output": "[['computer', 'laptop general', 'positive', 'awesome']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the shipping was fast and the seller was great"], "output": "[['shipping', 'shipping operation_performance', 'positive', 'fast'], ['seller', 'support general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the mac is great besides a chip under the mouse pad ."], "output": "[['mac', 'laptop general', 'positive', 'great'], ['chip', 'keyboard design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the design is beautiful and the force feedback track pad is amazing ."], "output": "[['design', 'laptop design_features', 'positive', 'beautiful'], ['track pad', 'keyboard general', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["yeah the new mac book is lighter and only a little small but the internals are a lot slower ."], "output": "[['mac book', 'laptop design_features', 'positive', 'lighter'], ['internals', 'hardware design_features', 'negative', 'slower']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["love this computer !"], "output": "[['this computer', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["force touch trackpad , pretty freakin awesome ."], "output": "[['trackpad', 'keyboard general', 'positive', 'awesome']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["works like a charm and the retina display is super gorgeous ."], "output": "[['retina display', 'display operation_performance', 'positive', 'gorgeous']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the laptop arrived in excellent condition ."], "output": "[['NULL', 'shipping operation_performance', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i absolutely love the programs that come with it ; how the mac itself functions , the appearance and quality of the mac ."], "output": "[['programs', 'software general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["battery life thus far isn ' t nearly as long as i thought it would be , based upon video reviews of this model and item description ."], "output": "[['battery life', 'battery operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this macbook is such a blessing and i would feel somewhat lost without it ."], "output": "[['macbook', 'laptop general', 'positive', 'blessing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["if you ' re considering getting this macbook , proceed with confidence ."], "output": "[['macbook', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the ss hard drive has next to zero lag over traditional drives ."], "output": "[['ss hard drive', 'hard_disc operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it ' s far away from meeting my expectations ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i really like how it isn ' t bulky ."], "output": "[['NULL', 'laptop design_features', 'positive', 'like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["great price and customer service"], "output": "[['NULL', 'laptop price', 'positive', 'great'], ['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": ["however , i have an iphone and an ipad and the macbook does a great job syncing up everything on all three devises ."], "output": "[['macbook', 'laptop usability', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["laptop works perfect however i did get a used charger that only lasted a week ."], "output": "[['laptop', 'laptop operation_performance', 'positive', 'perfect'], ['charger', 'power_supply quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["awesome machine ."], "output": "[['machine', '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": ["costs a few bucks $ $ $ more but apple products are the best on the market ."], "output": "[['apple products', 'company general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this computer is great for playing videos in a classroom setting of 10 people , connecting to an hdmi tv to show videos and powerpoints , and has a fantastic battery life ."], "output": "[['computer', 'laptop operation_performance', 'positive', 'great'], ['battery life', 'battery quality', 'positive', 'fantastic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["great price ."], "output": "[['NULL', 'laptop price', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["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": ["i ' ve been using this laptop for 1 year and no issues with the deliver nor the computer ."], "output": "[['computer', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["great prodcut"], "output": "[['prodcut', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i did not like the new 2016 model due to the lack of ports and magsafe connector ."], "output": "[['2016 model', 'laptop design_features', 'negative', 'not like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["shipping was fast and product came as described ."], "output": "[['shipping', 'shipping operation_performance', 'positive', 'fast'], ['product', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["apple updates are easy ."], "output": "[['apple updates', '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": ["it arrived in great condition , and it ' s been working perfectly for me since i got it ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'great'], ['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": ["high quaility computer in every way ."], "output": "[['computer', 'laptop quality', 'positive', 'high']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i like this machine quite a bit ."], "output": "[['machine', 'laptop general', 'positive', 'like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i was initially a little nervous as the system was somewhat glitchy for the first couple of weeks , seemed to be a problem with the chrome os because it was fixed by the next update ."], "output": "[['system', 'os usability', 'neutral', 'nervous'], ['chrome os because', 'os quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["took a week or so to get used to , but love it now ."], "output": "[['NULL', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["screen stays in whatever position you put it solidly enough to use the touchscreen ."], "output": "[['screen', 'display design_features', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["battery : solid ."], "output": "[['battery', 'battery 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": ["- speakers are a little tinny ( though the volume is awesome ) and it ' s not possible to customize the equalizer on the chrome os right now : ("], "output": "[['speakers', 'multimedia_devices design_features', 'negative', 'tinny'], ['speakers', 'multimedia_devices quality', 'positive', 'awesome'], ['chrome os', 'os operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i mean , if you want a true tablet , buy a true tablet - - this did honestly keep me from investing in a kindle as i was planning to ."], "output": "[['NULL', 'laptop design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i love that it is only as big as it needs to be to have a full - size keyboard ( not with a number pad , but full - sized keys ) ."], "output": "[['NULL', 'laptop design_features', 'positive', 'NULL'], ['keyboard', 'keyboard design_features', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["update it as soon as you turn it on !"], "output": "[['NULL', 'software usability', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["my trusty windows 7 laptop was on its last leg and i opted to try something new ."], "output": "[['windows 7 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": ["however , it comes with 100 gb of free google drive online storage ."], "output": "[['google drive online storage', 'hard_disc 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 touchscreen looks good and is responsive , and the keyboard is nice ."], "output": "[['touchscreen', 'display general', 'positive', 'good'], ['touchscreen', 'display operation_performance', 'positive', 'responsive'], ['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": ["people who complain that chromebooks are useless without internet access clearly are narrow minded and simply not thinking outside the box ."], "output": "[['internet access', 'ports general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["so i went to install my favorite screenwriting app , trelby , only to find its not available ."], "output": "[['screenwriting app', 'software general', 'positive', 'favorite']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["maybe this thing does suck without an internet connection ."], "output": "[['NULL', 'laptop connectivity', 'negative', 'suck']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["and just like that , i realized that i can use my studio desktop wherever i want , whenever i want ."], "output": "[['studio desktop', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it does make quite a loud click when you depress the button ."], "output": "[['NULL', 'keyboard design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["overall : i like it and am happy for paying a bit over $ 200 for the 4gb model ( at the time of writing this , it sells for $ 220 new ) ."], "output": "[['model', 'laptop price', '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": ["one plus i ' m particularly happy about : a quiet fan - less device that doesn ' t heat up too much !"], "output": "[['fan - less device', 'fans&cooling quality', 'positive', 'happy'], ['fan - less device', 'fans&cooling quality', 'positive', 'quiet']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i have to say , i was somewhat hesitant purchasing this chromebook mainly because of some of the reviews ."], "output": "[['chromebook', 'laptop quality', 'negative', 'hesitant']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["due to the excellent return policy on prime i decided to purchase this ."], "output": "[['return policy', 'support general', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i downloaded pandora and listened to all my stations at 3 / 4 volume and it sounded fine ."], "output": "[['NULL', '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": ["so far all but 1 of the android apps that i have tried have functioned properly , but some are restricted in the size of window that will work properly ."], "output": "[['android apps', 'software operation_performance', 'positive', 'properly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["laptop arrived dirty ( grimy screen and there was actual pet hair in the air vent ) ."], "output": "[['laptop', 'laptop design_features', 'negative', 'dirty'], ['screen', 'display design_features', 'negative', 'grimy'], ['air vent', 'fans&cooling general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i had to look up keys to press to get into a start up mode to even set up the computer"], "output": "[['computer', 'laptop usability', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i am not blaming the seller , i am blaming mac ' s os and its glitchy services ."], "output": "[['seller', 'support general', 'neutral', 'not blaming'], [\"mac ' s os\", 'os operation_performance', 'negative', 'NULL'], ['services', 'support general', 'negative', 'glitchy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["but currently i am happy with it , the battery is ok , and its very aesthetically pleasing ."], "output": "[['NULL', 'laptop general', 'positive', 'happy'], ['battery', 'battery general', 'positive', 'ok'], ['NULL', 'laptop design_features', 'positive', 'aesthetically'], ['NULL', 'laptop design_features', 'positive', 'pleasing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["ordered a macbook pro 13inch 256gb from this seller and with the exception of the power button , the keyboard and the trackpad wasn ' t working ."], "output": "[['macbook pro', 'laptop general', 'negative', 'NULL'], ['power button', 'hardware general', 'neutral', 'NULL'], ['keyboard', 'keyboard quality', 'negative', 'NULL'], ['trackpad', 'hardware quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the seller ' s description is that it was ` ` tested and fully functional ` ` and it wasn ' t ."], "output": "[['seller', 'support general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["update : apparently the laptop sold to me was missing 5 screws on the inside that actually holds everything together ."], "output": "[['laptop', 'laptop quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["while yes , the charger does look great coming out of the box , plan on buying another shortly thereafter - and after , as long as your patience holds up ."], "output": "[['charger', 'power_supply 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": ["do not waste your time calling apple to see if there is anything they can do about it after 1 year ( unless of course you want to pay even more money on ' apple care ' ) ."], "output": "[['apple', 'support general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["as much as i love the computer , and tout macbook to all my friends , for me , it stops here and now ."], "output": "[['computer', 'laptop general', 'positive', 'love'], ['macbook', '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 anti - reflective coating will wear off and it isn ' t covered under apple ' s warranty ."], "output": "[['anti - reflective coating', 'laptop quality', 'negative', 'NULL'], [\"apple ' s warranty\", 'warranty general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the macbook pro offers a very dependable machine that will muddle - through anything you throw at it without complaining ."], "output": "[['macbook pro', 'laptop operation_performance', 'positive', 'dependable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["2 usb ports and 2 thunderbolt ports on a $ 4500nz laptop ?"], "output": "[['usb ports', 'ports general', 'negative', 'NULL'], ['thunderbolt ports', 'ports general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the ` ` ssd drive ` ` is not user replaceable ."], "output": "[['ssd drive ` `', 'hard_disc general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the charger is defective and after 45 days of use the charger is shot ."], "output": "[['charger', 'power_supply quality', 'negative', 'defective']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["first impressions , excellent looking laptop and very light !"], "output": "[['laptop', 'laptop design_features', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i love the keyboard and the trackpad - i finally get it now why both of these have rave reviews ."], "output": "[['keyboard', 'keyboard general', 'positive', 'love'], ['trackpad', '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": ["the battery life is good - i get about 5 - 6 hours of non stop typing , with 3 browsers opened and wifi always on ."], "output": "[['battery life', 'battery general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it ' s not stated anywhere that ' s it ' s used ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["didn ' t purchase from amazon but i can not believe these laptops have 5 stars ."], "output": "[['amazon', 'company general', 'negative', 'NULL'], ['laptops', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["then one day , it stopped booting ."], "output": "[['NULL', 'os operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["my daughter loves it and it will be a great tool to help her through nursing school ."], "output": "[['NULL', 'laptop general', 'positive', 'loves'], ['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": ["apparently apple isn ' t even trying anymore ."], "output": "[['apple', 'company general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["* very good battery life"], "output": "[['battery life', 'battery quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it is not worth it ."], "output": "[['NULL', 'laptop general', 'negative', 'not worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i ' m still absolutely blown away how apple , a supposed industry leader , has such horrendous functionality ."], "output": "[['apple', 'company general', 'negative', 'horrendous']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i purchased this notebook back in july and was initially happy with my purchase ."], "output": "[['notebook', '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": ["after numerous calls , i then received confirmation the warranty was valid , but only as a \u2018 one - off ' ."], "output": "[['warranty', 'warranty general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["asus , has a horrible reputation ."], "output": "[['asus', 'company general', 'negative', 'horrible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["my final verdict - it ' s somewhat solid as a device now that 6 months of updates and delays are behind us ."], "output": "[['device', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["bright enough for all uses , and 1080p is perfect - images are sharp ."], "output": "[['1080p', 'display quality', 'positive', 'bright'], ['1080p', 'display quality', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["- battery life is solid , right around what is claimed - probably 7 to 10 hours depending on variables such as screen brightness and how demanding you ' re being with it ."], "output": "[['battery life', 'battery 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": ["- touchscreen is responsive enough for gaming ."], "output": "[['touchscreen', 'display design_features', 'positive', 'responsive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i absolutely imagine chrome apps picking up drastically in quality and quantity now , since it seems like chrome os is really coming into its own this year ."], "output": "[['chrome apps', 'software 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": ["- in tablet mode , the screen looks too \u2018 tall ' to feel natural ( see the attached picture ) ."], "output": "[['screen', 'display design_features', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this screen ratio makes it look great in desktop mode ."], "output": "[['screen ratio', 'display design_features', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["after 3 months of use the unit will no longer charge ."], "output": "[['unit', '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": ["if it is indeed a software thing and it ' s fixed , i would highly recommend this device ."], "output": "[['device', 'laptop general', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["second issue is with scaling of the ui ."], "output": "[['ui', '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": ["the screen itself is hd 1080p but most ui elements don ' t look good in this resolution ."], "output": "[['ui elements', 'software design_features', 'negative', \"' t look 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": ["unless the app is specifically designed to access google drive files , the app has no way to read and save files directly to the cloud ."], "output": "[['app', 'software design_features', 'negative', 'NULL'], ['NULL', 'software design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["\u2022 great battery life ."], "output": "[['battery life', 'battery 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": ["\u2022 volume is incredibly low ."], "output": "[['NULL', 'multimedia_devices operation_performance', 'negative', 'low']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i would like a quick fix but have not found one that would allow me to consider keeping this beautiful asus chromebook ."], "output": "[['asus chromebook', 'laptop design_features', 'positive', 'beautiful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["then i one night i plugged it in and woke up to a dead chromebook ."], "output": "[['chromebook', 'laptop general', 'negative', 'dead']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it ' s too heavy to really use as a tablet ."], "output": "[['tablet', 'laptop portability', 'negative', 'heavy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["transfer speeds ( lan to nas ) were miserably slow ( 10 - 30mbps ) ."], "output": "[['NULL', 'ports operation_performance', 'negative', 'slow']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it was perfect with no backlight bleed , no shimmery matte texture , no uneven backlight , no dead / stuck pixels ."], "output": "[['NULL', 'display general', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this product was fantastic - - great build quality , screen resolution , keyboard - - until one day it stopped turning on ."], "output": "[['product', 'laptop general', 'positive', 'fantastic'], ['build quality', 'laptop quality', 'positive', 'great'], ['screen resolution', 'display general', 'positive', 'great'], ['keyboard', 'keyboard general', 'positive', 'great'], ['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 ' ve been repairing products for years and it was clear this was a power _ supply issue ."], "output": "[['power _ supply issue', '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": ["if this device weren ' t nearly $ 500 i might expect it to only last a year , but at this price point it ' s unacceptable ."], "output": "[['device', 'laptop quality', 'negative', 'unacceptable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["some of the things i wanted to do with this notebook were limited by the os ."], "output": "[['os', '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": ["the laptop was great , lightweight , booted fast , simple to use ."], "output": "[['laptop', 'laptop general', 'positive', 'great'], ['laptop', 'laptop design_features', 'positive', 'lightweight'], ['laptop', 'laptop operation_performance', 'positive', 'fast'], ['laptop', 'laptop usability', 'positive', 'simple']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["even just this last month it still rates ( on several tech sites ) as one of the best overall chromebook lines to get ."], "output": "[['chromebook', 'laptop general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the asus customer service people are rude and have no answers ."], "output": "[['asus customer service people', 'support quality', 'negative', 'rude']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["things were fine until the unit stopped charging ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'fine'], ['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": ["this is the problem with companies today ."], "output": "[['companies', 'company general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["asus customer service sucks ."], "output": "[['asus customer service', 'support general', 'negative', 'sucks']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i call customer service , first they argue and say customer damage then to try and placate me they say they have an adp accidental damage and protection plan one time for one year ."], "output": "[['customer service', 'support operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it is a beautiful , well built laptop ."], "output": "[['laptop', 'laptop design_features', 'positive', 'beautiful'], ['laptop', '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": ["that ' s nutty for an expensive premium product ."], "output": "[['product', 'laptop operation_performance', 'negative', 'nutty'], ['product', '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": ["asus what the heck were you thinking when you designed this product ?"], "output": "[['asus', 'company general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i seriously love the product but i may have to return it ."], "output": "[['product', 'laptop general', 'positive', 'love'], ['product', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["now i only leave it charging until it ' s full but the battery time is still decreasing ."], "output": "[['battery', 'battery quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["very impressed with my first chromebook ."], "output": "[['chromebook', '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": ["i don ' t use it as much in tablet mode as i thought as it is a little heavy when in that configuration ."], "output": "[['tablet mode', 'laptop portability', 'negative', 'heavy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i had high hopes for this tablet / computer based on customer reviews ."], "output": "[['tablet / computer', 'laptop general', 'positive', 'high']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["google docs work fine ."], "output": "[['google docs', 'software operation_performance', 'positive', 'fine']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["a chromebook does most of what i need , except gaiming ."], "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": ["second , and most annoying , it would not identify my printer in cloud print ."], "output": "[['NULL', 'ports operation_performance', 'negative', 'annoying']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["so , guess i ' m screwed , because now after 6 months my tpm is no longer working and the whole computer is useless ."], "output": "[['tpm', 'hard_disc operation_performance', 'negative', 'NULL'], ['computer', 'laptop operation_performance', 'negative', 'useless']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["product is sturdy , lightweight , fast , and the battery runtime was as advertised !"], "output": "[['product', 'laptop design_features', 'positive', 'sturdy'], ['product', 'laptop design_features', 'positive', 'lightweight'], ['product', 'laptop operation_performance', 'positive', 'fast'], ['battery runtime', 'battery quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i had to buy a mouse because the touchpad is very sticky ."], "output": "[['touchpad', 'keyboard design_features', 'negative', 'sticky']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD 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 at all pleasant to use also , the screen quality is just so - so ."], "output": "[['NULL', 'laptop general', 'negative', 'not at all pleasant'], ['screen quality', 'display quality', 'neutral', 'so - so']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD 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 not buy any asus product again"], "output": "[['asus product', 'company general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the third one is ok but has a dead pixel ."], "output": "[['NULL', 'laptop general', 'neutral', 'ok']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i ' ve contacted amazon and asus and no response ."], "output": "[['amazon', 'support general', 'negative', 'NULL'], ['asus', 'support general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this piece of crap won ' t hold a wifi signal or has a really weak signal ."], "output": "[['crap', '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": ["several of my chrome extensions perform poorly and have to be disabled altogether which degrades my work production experience ."], "output": "[['chrome extensions', 'software operation_performance', 'negative', 'poorly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["however , 1 ) the speakers on this thing are horrible ."], "output": "[['speakers', 'multimedia_devices 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": ["battery life is not good ."], "output": "[['battery life', 'battery 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": ["but screen is very weird ."], "output": "[['screen', 'display general', 'negative', 'weird']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the intel m3 processor is amazing , this thing can do a ton of multi - tasking and the google play store is nice to have , the android apps variants trump the chromebook pre - loaded apps ."], "output": "[['intel m3 processor', 'cpu operation_performance', 'positive', 'amazing'], ['google play store', 'software general', 'positive', 'nice'], ['android apps', 'software operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["a great chromebook , but stopped charging in 3 months ."], "output": "[['chromebook', 'laptop general', 'positive', 'great'], ['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": ["i was really excited to purchase this product because it was more affordable ."], "output": "[['product', 'laptop general', 'positive', 'excited'], ['product', 'laptop price', 'positive', 'affordable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["chromebooks are cool , but they dont last at all ."], "output": "[['chromebooks', 'laptop design_features', 'positive', 'cool'], ['chromebooks', '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": ["hey this machine is extremely useable and functionable ."], "output": "[['machine', 'laptop usability', 'positive', 'useable'], ['machine', 'laptop operation_performance', 'positive', 'functionable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD 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 no longer charging ."], "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": ["furthermore , the file system is extremely complicated to use ."], "output": "[['file system', 'os usability', 'negative', 'complicated']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the display panel on the machine i received is warped ."], "output": "[['display panel on', 'display quality', 'negative', 'warped']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["half the time it doesn ' t want to turn on and just flashes ."], "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 machine looks great from the hardware point , but the whole concept of chrome os and cloud applications sucks ."], "output": "[['machine', 'laptop general', 'positive', 'great'], ['hardware', 'hardware design_features', 'positive', 'great'], ['chrome os', 'os general', 'negative', 'sucks'], ['cloud applications', 'software general', 'negative', 'sucks']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["in the middle of using , it rebooted , then went into an endless boot loop , so i tried to reset it to factory default , now it says chrome os is missing or damaged ."], "output": "[['chrome os', 'os operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the screen hinge feels weak ."], "output": "[['screen hinge', 'hardware design_features', '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": ["screen is average by 2017 standards ."], "output": "[['screen', 'display quality', 'neutral', 'average']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the chromebook is brilliant overall ."], "output": "[['chromebook', 'laptop general', 'positive', 'brilliant']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["google provides zeros customer support related to the os ."], "output": "[['customer support', 'support general', 'negative', 'NULL'], ['google', 'support general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["horrible product ."], "output": "[['product', 'laptop general', 'negative', 'horrible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["tech support is no help unless you are willing to part with your computer for months without guarantee of return ."], "output": "[['tech support', 'support general', 'negative', 'no help']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i am having a very difficult time with this chromebook ."], "output": "[['chromebook', 'laptop general', '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": ["it freezes constantly and needs to be shut off to start again ."], "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 microphone does not work with regular speaker ."], "output": "[['microphone', 'multimedia_devices operation_performance', 'negative', 'NULL'], ['speaker', 'multimedia_devices operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the tablet mode is horribly integrated with the os and applications ."], "output": "[['tablet mode', 'laptop general', 'negative', 'horribly'], ['os', 'os general', 'negative', 'horribly'], ['applications', 'software general', 'negative', 'horribly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive 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 returning the second one bu it does n ' t give me the option to return it ."], "output": "[['NULL', 'support general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this is nothing more than an okay laptop to get you through basic work activities ."], "output": "[['laptop', 'laptop general', 'positive', 'okay']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["overall it ' s one of the nicest chrombooks out there ."], "output": "[['chrombooks', 'laptop general', 'positive', 'nicest']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["however , mine came with an annoying trackpad ."], "output": "[['trackpad', 'keyboard 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 top metal monitor casing seems to be soft and bendable ."], "output": "[['top metal monitor casing', 'hardware design_features', 'negative', 'soft'], ['top metal monitor casing', 'hardware design_features', 'negative', 'bendable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["mine arrived with the metal screen casing slightly bent , i can easily bend it back , not sure about the durability of this thing in the long term ."], "output": "[['metal screen casing', 'display quality', 'negative', 'bent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD 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 , shortly after i received it , a buzzing sound started coming out of the right side usb port ."], "output": "[['usb port', 'ports quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["so chromebook with some manufacturing issues + bad customer service"], "output": "[['chromebook', 'laptop general', 'negative', 'NULL'], ['customer service', 'support general', 'negative', 'bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["they 1080 screen makes the fonts to small for this size screen ."], "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": ["i find the chromium os to be very limiting and would not recommend it over a cheap windows pc ."], "output": "[['chromium os', 'os general', 'negative', 'limiting'], ['windows pc', 'laptop price', 'negative', 'not recommend'], ['windows pc', 'laptop price', 'negative', 'cheap']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the keyboard is fantastic , but it ' s just a keyboard ."], "output": "[['keyboard', 'keyboard general', 'positive', 'fantastic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the touchpad is also some strange off color plastic ."], "output": "[['touchpad', 'keyboard design_features', 'negative', 'strange']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["1 - faulty trackpad resulting in jerky erratic cursor movement relative to the smooth movement of your finger ."], "output": "[['trackpad', 'keyboard operation_performance', 'negative', 'faulty'], ['trackpad', 'keyboard operation_performance', 'negative', 'jerky'], ['trackpad', 'keyboard operation_performance', 'negative', 'erratic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i then noticed a dead pixel on the screen ."], "output": "[['screen', 'display quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["however , if you want a really speedy chromebook , it ' s great ."], "output": "[['chromebook', 'laptop operation_performance', 'positive', 'speedy'], ['chromebook', 'laptop operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the first unit i received shortly died after a few hours of usage ."], "output": "[['unit', 'laptop quality', 'negative', 'died']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i like the addition of the cooler boost button , but most of the time i don ' t have to use it because i have a thermaltake auto laptop cooling pad that monitors the bottom surface of my laptop ."], "output": "[['thermaltake auto laptop cooling pad', 'fans&cooling 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": ["trackpad is ok ."], "output": "[['trackpad', 'keyboard general', 'neutral', 'ok']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["wireless card is finicky with both units i had ."], "output": "[['wireless card', 'hardware 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": ["my laptop seems to lose its internet connection at random times ."], "output": "[['laptop', '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": ["after being on the phone with technical support and windows support for a combined 10 hours , i am told that the hardware is defective and must be replaced ."], "output": "[['hardware', 'hardware quality', 'negative', 'defective']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["run like heck from this machine ."], "output": "[['machine', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it will break , even if it works at first ."], "output": "[['NULL', 'laptop quality', 'negative', 'break']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD 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 isn ' t even 30 days old yet ."], "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": ["literally just closing it and opening it up later was a 50 / 50 proposition if it would wake up , or the display would crash , or the disk would crash , or some driver would fail - on a brand new laptop ."], "output": "[['display', 'display quality', 'negative', 'crash'], ['disk', 'hard_disc quality', 'negative', 'NULL'], ['some driver', 'software quality', 'negative', 'fail'], ['laptop', 'laptop quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["hook up the cat5 and the machine is screaming at high speed and exactly what i was hoping for ."], "output": "[['machine', 'laptop operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["by the time i was returning it , the system was in such poor shape from the msi ."], "output": "[['system', 'os operation_performance', 'negative', 'poor']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i believe if you happen to uninstall / install the drivers in exactly the correct order and / or do a clean win 10 installation yourself , this laptop should perform well for the price ."], "output": "[['laptop', 'laptop operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the sound is really terrible and tinny ."], "output": "[['sound', 'multimedia_devices operation_performance', 'negative', 'terrible'], ['sound', 'multimedia_devices operation_performance', 'negative', 'tinny']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it ' s fast ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["excellent product"], "output": "[['product', 'laptop general', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i ' ve always liked msi for their performance and fairly decent price ."], "output": "[['msi', 'laptop operation_performance', 'positive', 'liked'], ['msi', 'laptop price', 'positive', 'decent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it was actually more like 1h45m and this was also after optimizing the battery ."], "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": ["so , four days after buying this laptop , it stopped booting ."], "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": ["for the four days i used it , it worked 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": ["this laptop is not worth the time and definitely not the money ."], "output": "[['laptop', 'laptop general', 'negative', 'not worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["we call tech support together and the guy who answers is just so not interested in helping ."], "output": "[['tech support', 'support operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i am extremely disappointed with this laptop ."], "output": "[['laptop', '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": ["update : this is by far and away the worst computer i have ever purchased ."], "output": "[['computer', 'laptop general', 'negative', 'worst']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["got the second laptop , died within a month and same thing ."], "output": "[['second laptop', 'laptop general', 'negative', 'died']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this kept plaguing the laptop as more problems kept piling up including various bsod errors mostly involving the hardware ."], "output": "[['hardware', 'hardware quality', 'negative', 'NULL'], ['laptop', 'laptop quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["poor design and terrible tech support ."], "output": "[['design', 'laptop design_features', 'negative', 'poor'], ['tech support', 'support 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": ["this computer is amazing !"], "output": "[['computer', 'laptop general', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["quite like this laptop so far , only writing this review so early from owning it to receive that nice msi headset ."], "output": "[['laptop', 'laptop general', 'positive', 'like'], ['msi headset', 'multimedia_devices general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["not too happy with msi , likely to return this laptop ."], "output": "[['msi', 'company general', 'negative', 'not too happy'], ['laptop', 'laptop general', 'negative', 'not too 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 laptop was great starting out of the box ."], "output": "[['laptop', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["their support page is very buggy , and the support people are unhelpful ."], "output": "[['support page', 'support general', 'negative', 'buggy'], ['support people', 'support general', 'negative', 'unhelpful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["sooooo i would avoid this and i ' m pretty much avoiding the optane drive which may have been part of the issue ."], "output": "[['optane drive', 'graphics general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["after this issue i finally decided to return my product ."], "output": "[['product', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["good luck this customer tech support and msi has absolutely no idea how to help you ."], "output": "[['customer tech support', 'support general', 'negative', 'good luck'], ['msi', 'support general', 'negative', 'good luck']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i ' ve had to do a factory reset on this piece of garbage 4 times and i ' ve only owned it for 4 months ."], "output": "[['NULL', 'laptop general', 'negative', 'garbage']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["you can feel the plastic bending if you pick up the laptop with one hand ."], "output": "[['laptop', 'laptop design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i really loved this laptop ."], "output": "[['laptop', '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": ["i will never own another msi product ."], "output": "[['msi product', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["now i feel bad buying this for my child , as this laptop seem to have a solid rating elsewhere ."], "output": "[['laptop', 'laptop general', 'negative', 'bad'], ['laptop', 'laptop general', 'negative', '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": ["so i ' m stuck with a 3 month old laptop that does n ' t work ."], "output": "[['laptop', 'laptop general', 'negative', 'stuck']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["eventually got to the point that even when i reinstalled windows it was so slow that there are clearly serious build defects / instabilities on this product ."], "output": "[['product', 'laptop quality', 'negative', 'slow']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["when it is functioning it works great ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["finding out you bought garbage for the steep price of $ 700 + ."], "output": "[['NULL', 'laptop general', 'negative', 'garbage']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["overall a decent laptop if not for these problems , also , the laptop has minor screen freezes even while playing low graphical games like league of legends ."], "output": "[['laptop', 'laptop general', 'positive', 'decent'], ['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": ["laptop malfunctioned and stopped working after only 3 months ."], "output": "[['laptop', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it does have a nice screen that is very bright , decent viewing angle and ok for contrast ."], "output": "[['screen', 'display general', 'positive', 'nice'], ['screen', 'display general', 'positive', 'bright'], ['screen', 'display general', 'positive', 'decent'], ['screen', 'display general', 'positive', 'ok']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the keyboard is very nice and very responsive ."], "output": "[['keyboard', 'keyboard operation_performance', 'positive', 'nice'], ['keyboard', 'keyboard operation_performance', 'positive', 'responsive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i love the fast bootup time with the optane memory , a nice alternative to a very expensive ssd ."], "output": "[['bootup', 'os operation_performance', 'positive', 'love'], ['optane memory', 'memory operation_performance', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the charge doesn ' t last like the five hours it stated but instead last three hours ."], "output": "[['charge', '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": ["had it for a month and it ' s riddled with problems ."], "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": ["as others have said , the only downside is the slow 5400 rpm 1 tb hard drive ."], "output": "[['hard drive', 'hard_disc operation_performance', 'negative', 'slow']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["+ very good ips matte fhd panel , zero reflections , almost zero light bleed , average brightness ."], "output": "[['ips matte fhd panel', 'display design_features', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["used as bought , it is an ok laptop , but not great ( probably a 3 star value ) ."], "output": "[['laptop', 'laptop general', 'neutral', 'ok'], ['laptop', 'laptop general', 'neutral', 'not great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["- no ethernet port ( not that i ' ve used or needed one that i can recall )"], "output": "[['ethernet port', 'ports design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["no backlit keyboard ."], "output": "[['keyboard', 'keyboard design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it has plenty of power for most tasks ."], "output": "[['power', '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": ["the only weak point of the laptop is the hard drive it come with , but luckily this laptop is extendable - 2 ram slots and one m ."], "output": "[['NULL', 'laptop design_features', 'positive', 'luckily'], ['NULL', 'laptop design_features', 'positive', 'extendable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive 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 $ 500 for a 15 ` ` notebook with 8gb ram , latest i5 - 8250u cpu with reasonable weight and its quite extendable , i am happy for this deal ."], "output": "[['weight', 'laptop design_features', 'positive', 'reasonable'], ['NULL', 'laptop design_features', 'positive', 'extendable'], ['NULL', '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": ["also , i ' m not a fan of the delete and power button being next to each other , now i see what the other people are complaining about accidentally shutting it off ."], "output": "[['delete and power button', 'keyboard design_features', 'negative', 'complaining']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["haven ' t had any issues yet so pretty glad i chose this ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'glad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["very nice looking laptop for the money ."], "output": "[['laptop', 'laptop design_features', 'positive', 'nice looking'], ['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": ["features windows 10 , sharp display , and card slot for m ."], "output": "[['windows 10', 'os general', 'positive', 'NULL'], ['display', 'display operation_performance', 'positive', 'sharp'], ['card slot', 'ports general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["great quality computer ."], "output": "[['computer', 'laptop quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["like the flip , this has good build quality ."], "output": "[['flip', 'laptop general', 'positive', 'like'], ['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": ["so far it has been able to handle everything i ' ve thrown at it ."], "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": ["all in all , pretty good stuff ."], "output": "[['stuff', '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": ["2 and this laptop is an epic powerhouse for under $ 700 ."], "output": "[['laptop', 'laptop general', 'positive', 'epic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["very good laptop if you want something lightweight for everyday browsing ."], "output": "[['laptop', 'laptop design_features', 'positive', 'good'], ['laptop', 'laptop design_features', 'positive', 'lightweight']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["excellent hardware , however i ran into some nasty trouble after updating windows 10 ."], "output": "[['hardware', 'hardware general', 'positive', 'excellent'], ['windows 10', 'os general', 'positive', 'nasty']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["so , shortly after buying it i had to format it ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["and just now , the computer says it is plugged in but not charging ."], "output": "[['computer', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the fingerprint reader works most of the time ."], "output": "[['fingerprint reader', 'hardware operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the sound is fine for me but not as good as external speakers ."], "output": "[['sound', 'multimedia_devices operation_performance', 'positive', 'fine'], ['external speakers', 'multimedia_devices 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": ["not that this machine boots up slow ."], "output": "[['machine', 'laptop operation_performance', 'negative', 'slow'], ['boots up', 'laptop operation_performance', 'negative', 'slow']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["great value for a laptop ."], "output": "[['laptop', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["love the 15 inch screen in the body of a 14 inch body ."], "output": "[['15 inch 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": ["cheaply made plastic but performance is well worth the trade for a $ 500 laptop ."], "output": "[['NULL', 'laptop quality', 'negative', 'cheaply made'], ['NULL', 'laptop operation_performance', 'positive', 'well'], ['NULL', 'laptop operation_performance', '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": ["touchpad works well ."], "output": "[['touchpad', 'keyboard design_features', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the speakers are mediocre and don ' t put out too much volume and are sensitive to position ."], "output": "[['speakers', 'multimedia_devices operation_performance', 'neutral', 'mediocre']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i do like the screen on this , images are clean and crisp , enjoying the 4 gigs of ram which allow me to have a few more tab open ."], "output": "[['screen', 'display general', 'positive', 'like'], ['screen', 'display general', 'positive', 'clean'], ['screen', 'display general', 'positive', 'crisp'], ['ram', 'memory general', 'positive', 'enjoying']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i like how it ' s so simple , without so much clutter and complexity ."], "output": "[['NULL', 'laptop design_features', 'positive', 'simple']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i ' m still keeping this as a backup or additional laptop because of its cheap price ."], "output": "[['laptop', 'laptop price', 'positive', 'cheap']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["anyways , i really would of liked to have kept the chromebook as it was the perfect weight , size , and design for my upcoming college semester ."], "output": "[['chromebook', 'laptop design_features', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["laptop would never power on , even after being charged for 24 hours ."], "output": "[['laptop', '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": ["i want to love this laptop because it is so lightweight and sleek ."], "output": "[['laptop', 'laptop design_features', 'positive', 'love'], ['laptop', 'laptop design_features', 'positive', 'lightweight'], ['laptop', 'laptop design_features', 'positive', 'sleek']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it ' s decent ."], "output": "[['NULL', 'laptop general', 'positive', 'decent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["ssd hardware issue"], "output": "[['ssd', 'hard_disc quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["note : support for amazon is making it good and immediately sent me the return label , bought through third party but i will get my money back , thank god for amazon customer service"], "output": "[['support for amazon', 'support quality', 'positive', 'good'], ['amazon customer service', 'support 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 return procedure is so elaborate that i may decide to just write this purchase up as one big mistake ."], "output": "[['return procedure', 'support general', 'negative', 'elaborate']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["daughter opened it for christmas and it doesn ' t stay on ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["they keyboard felt responsive and was a good size ."], "output": "[['keyboard', 'keyboard operation_performance', 'positive', 'responsive'], ['keyboard', 'keyboard design_features', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i am very close to just returning it and never buying another acer product ever again ."], "output": "[['acer product', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i will give them props for the build quality ."], "output": "[['build quality', 'laptop quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["combine these items together and this item became very frustrating ."], "output": "[['NULL', 'laptop general', 'negative', 'frustrating']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["- exceptional keyboard and touchpad feel"], "output": "[['keyboard', 'keyboard general', 'positive', 'exceptional'], ['touchpad', 'hardware operation_performance', 'positive', 'exceptional']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["- below average screen brightness about 200 nits , average is 250 - 275 ."], "output": "[['screen', 'display design_features', '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": ["as you can see from the reviews it worked out fine for most people ."], "output": "[['NULL', 'laptop general', 'positive', 'fine']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["when i sent it back to acer to repair it they simply claimed it had water damaging and couldn ' t fix it ."], "output": "[['acer', 'support quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["my acer aspire e 15 worked great for a day , and then shut off by itself ."], "output": "[['acer aspire', 'laptop general', 'positive', 'great'], ['acer aspire', '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": ["by june 2018 , the keyboard stopped working , and i had to do an unplug and reboot ."], "output": "[['keyboard', 'keyboard operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["now given that without the issue they are a nice laptop ."], "output": "[['laptop', 'laptop general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["good performance for the price and my intention as the support for my family was to have everyone on these with a spare to deal with ones that break down ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'good'], ['NULL', 'laptop price', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i purchased this computer because it came highly rated by consumer reports , pc magazine , and other raters ."], "output": "[['computer', 'laptop general', 'positive', 'highly rated']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the reason why i ' m giving this laptop a two star is because overall i think the quality of it is good especially for the price ."], "output": "[['laptop', 'laptop quality', 'positive', 'good'], ['laptop', 'laptop price', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["can not remove the battery ."], "output": "[['battery', 'battery design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i too have the black screen problem ."], "output": "[['screen', 'display operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["computer is fine but the speakers broke after 1 week of use ."], "output": "[['computer', 'laptop general', 'positive', 'fine'], ['speakers', 'multimedia_devices quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the computer is good for the price , but the hdmi port is already broken ."], "output": "[['computer', 'laptop price', 'positive', 'good'], ['hdmi 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": ["won ' t turn on , won ' t charge , have to send it to tx to be repaired ."], "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 want to insist that this is not a game laptop , as many have reviewed it as ."], "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": ["battery life can last me roughly 5 or 6 hours on internet usage alone with multiple tabs ."], "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": ["the speakers on the bottom take a moment to get used to but after that it ' s alright ."], "output": "[['speakers', 'multimedia_devices general', 'neutral', 'alright']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["also , i hate the keyboard - it feels really cheap ."], "output": "[['keyboard', 'keyboard general', 'negative', 'hate'], ['keyboard', 'keyboard general', '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": ["overall the laptop is cheap and flimsy ."], "output": "[['laptop', 'laptop price', 'positive', 'cheap'], ['laptop', 'laptop 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": ["mx150 gaphics card is also pretty bad ."], "output": "[['mx150 gaphics card', 'graphics general', 'negative', 'bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["and i genuinely believed in acer , but first i had a lot of issues setting up the computer and after hours of customer service help the touch pad did n ' t even work ."], "output": "[['touch pad', 'keyboard quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i took it to my local computer repair who states it has a bad board ."], "output": "[['board', 'motherboard general', 'negative', 'bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["there ' s something wrong with my laptop ."], "output": "[['laptop', 'laptop general', 'negative', 'wrong']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["something is wrong with the power management ."], "output": "[['power management', 'battery general', 'negative', 'wrong']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["very disappointed in the $ 600 e 15 , as opposed to the no frills , plain old , < $ 200 15 i ' ve had for 2 ."], "output": "[['e 15', 'laptop general', 'negative', 'disappointed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the trackpad stopped working after four weeks of using it ."], "output": "[['trackpad', 'hardware operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["there is a flicker in the middle of the screen that is very annoying ."], "output": "[['screen', 'display 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": ["the computer runs decent but the keypad turns off every time the computer sleeps ."], "output": "[['keypad', 'keyboard design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["otherwise , so far it is working well ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i presented my son with a gift of a defective machine ."], "output": "[['machine', 'laptop general', '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": ["the computer itself is actually quite fast with the ssd and processor , so my experience there so far has been good ."], "output": "[['computer', 'laptop operation_performance', 'positive', 'fast'], ['ssd', 'hard_disc quality', 'positive', 'fast'], ['processor', 'cpu quality', 'positive', 'fast'], ['computer', 'laptop general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["keyboard and track pad shoved way left ."], "output": "[['keyboard', 'keyboard operation_performance', 'negative', 'NULL'], ['track pad', 'keyboard operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["keyboard rattles loudly when typing on left side ."], "output": "[['keyboard', 'keyboard operation_performance', 'negative', 'loudly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["will not connect to wifi , amd screen flashes when adjusting while on ."], "output": "[['wifi', 'ports connectivity', 'negative', 'NULL'], ['screen', 'display operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["but the speakers are absolutely horrible !"], "output": "[['speakers', 'multimedia_devices operation_performance', 'negative', 'horrible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["latest 8th generation core i5 cpu"], "output": "[['8th generation core i5 cpu', 'cpu general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["keyboard has flex"], "output": "[['keyboard', 'keyboard design_features', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["no backlight at keyboard"], "output": "[['backlight', 'keyboard design_features', 'negative', 'NULL'], ['keyboard', 'keyboard design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["key presses are too stiff to press ."], "output": "[['key', 'keyboard usability', 'negative', 'stiff']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["hdd makes this laptop very slow ."], "output": "[['hdd', 'hard_disc design_features', 'negative', 'slow'], ['laptop', 'laptop design_features', '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": ["but asus engineers designed the case and laptop not to be opened by users ."], "output": "[['case', 'laptop operation_performance', 'negative', 'NULL'], ['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": ["there is no backlight and keys are too stiff ."], "output": "[['backlight', 'keyboard design_features', 'negative', 'stiff'], ['keys', 'keyboard design_features', 'negative', 'stiff']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i believe it is not healthy to use this keyboard for a long time ."], "output": "[['keyboard', 'keyboard miscellaneous', 'negative', 'not healthy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD 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 mostly compatible with this laptop except fingerprint reader ."], "output": "[['fingerprint reader', 'hardware general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["video converting process with same video file took only 25 minutes with asus vivobook f510ua ."], "output": "[['asus vivobook f510ua', '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": ["3 ) you can hear the screen creak ."], "output": "[['screen', 'display quality', 'negative', 'creak']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive 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 support a hardwire connection ."], "output": "[['NULL', 'laptop connectivity', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i have installed no software on it yet it updates something every day and wants to reboot ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it just locked up again ."], "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": ["did i mention it sounds like a lawn mower ?"], "output": "[['NULL', 'hard_disc operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i will say i do enjoy the screen quality , the wifi is fast on this laptop ."], "output": "[['wifi', 'ports operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["in all , stay away ."], "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": ["- keyboard is comfortable to use"], "output": "[['keyboard', 'keyboard usability', 'positive', 'comfortable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["- finger doesn ' t side smoothly along track pad ."], "output": "[['track pad', 'hardware 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": ["horrible laptop !"], "output": "[['laptop', 'laptop general', 'negative', 'horrible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i had to spend over $ 160 to return it ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i will never buy an other asus product ."], "output": "[['asus product', 'company general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it just crashed , dead ."], "output": "[['NULL', 'laptop operation_performance', 'negative', 'crashed'], ['NULL', 'laptop operation_performance', 'negative', 'dead']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["- the screen looks pretty good , except when viewing anything dark ."], "output": "[['screen', 'display general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["- the keyboard is awful ."], "output": "[['keyboard', 'keyboard general', 'negative', 'awful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["when i asked asus for a replacement key , they said i ' d have to ship it back to them , which would have left me without a computer for 2 weeks ."], "output": "[['asus', '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": ["don ' t buy it ."], "output": "[['NULL', 'laptop general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["after my 3rd boot up it ' s damaged ."], "output": "[['boot up', 'os operation_performance', 'negative', 'damaged']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD 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 month of use , disk ( c : ) runs at 100 % all the time ."], "output": "[['NULL', 'hard_disc operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["everything else is very good and i am satisfied"], "output": "[['NULL', 'laptop general', 'positive', 'good'], ['NULL', 'laptop general', 'positive', 'satisfied']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["do not buy this computer if your plan is to multitask , play an occasional game and / or play music while searching the web ."], "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": ["this is first impression , 1st day using 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": ["overall good laptop ."], "output": "[['laptop', 'laptop general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the fingerprint scanner is half jotted and barely works ."], "output": "[['fingerprint scanner', 'hardware operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["one day of use and the screen turns itself off and logs you out whenever it feels to do so ."], "output": "[['screen', 'display operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["finger print scanner not working whatsoever ."], "output": "[['finger print scanner', '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": ["with all the great spec hardware in this laptop , why would you put a 5400rpm hard drive in this unit ?"], "output": "[['spec', 'hardware general', 'positive', 'great'], ['hardware', 'hardware general', 'positive', 'great'], ['hard drive', 'hard_disc general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["poor touch pad , it get stuck ."], "output": "[['touch pad', 'hardware general', 'negative', 'poor'], ['touch pad', 'hardware general', 'negative', 'stuck']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["- the physical case is solid and of a production quality you ' d expect in machine 3 - 5x the price of this machine"], "output": "[['production quality', 'laptop quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["- user interfaces that are tight , responsive"], "output": "[['user interfaces', 'os operation_performance', 'positive', 'tight'], ['user interfaces', 'os 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": ["all and all , it ' s a light weight , but very robust development stack , that also has the added convenience of cloud9 ' s collaboration features wherein multiple developers can be writing code in even the same file simultaneously ."], "output": "[['NULL', 'os operation_performance', 'positive', 'robust'], ['NULL', '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": ["thus far , i ' ve loaded a number of games , my password vault , several productivity apps , skype , spotify and some network scanning android apps and they ' ve all worked very well ."], "output": "[['NULL', 'software operation_performance', 'positive', 'well'], ['android apps', 'software operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["mouse and trackpad settings are very minimalist , there ' s no way to modify short - cut keys , and the power management options are pretty minimal , too ."], "output": "[['mouse', 'software design_features', 'negative', 'minimalist'], ['trackpad settings', 'software design_features', 'negative', 'minimalist'], ['power management options', 'software design_features', 'negative', 'minimalist']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["and the google play store is chock - full of great apps and games ."], "output": "[['google play store', 'software design_features', 'positive', 'great'], ['apps', 'software design_features', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it ' s really seamless and smooth to move back and forth and makes experimenting with different linux configs and environments effortless ."], "output": "[['linux configs', 'os operation_performance', 'positive', 'seamless'], ['linux configs', 'os operation_performance', 'positive', 'smooth'], ['linux configs', 'os operation_performance', 'positive', 'effortless'], ['environments', 'os operation_performance', 'positive', 'seamless'], ['environments', 'os operation_performance', 'positive', 'smooth'], ['environments', 'os operation_performance', 'positive', 'effortless']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD 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 won ' t be disappointed with this great little machine how ever you end up using it , and that versatility is what really makes this machine such a fun and valuable computer ."], "output": "[['machine', 'laptop general', 'positive', 'great'], ['machine', 'laptop general', 'positive', \"' t be disappointed\"], ['NULL', 'laptop general', 'positive', 'fun'], ['NULL', 'laptop general', 'positive', 'valuable'], ['computer', 'laptop general', 'positive', 'fun'], ['computer', 'laptop general', 'positive', 'valuable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD 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 ~ $ 15 you can get a nice , fitted anti - glare screen protector that reduces the fingerprint / glare problems and gives you some piece of mind about protecting that gorgeous screen ."], "output": "[['screen protector', 'display operation_performance', 'positive', 'nice'], ['screen protector', 'display operation_performance', 'positive', 'fitted'], ['NULL', 'display general', 'positive', 'gorgeous']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i saw this c302 was announced at ces and was immediately drawn to it since it has the intel core m3 processor ."], "output": "[['c302', 'laptop general', 'positive', 'drawn to'], ['intel core m3 processor', 'cpu general', 'positive', 'drawn to']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["apps like microsoft word , excel , etc run wonderfully ."], "output": "[['apps', 'software operation_performance', 'positive', 'wonderfully'], ['microsoft word', 'software operation_performance', 'positive', 'wonderfully'], ['excel', 'software operation_performance', 'positive', 'wonderfully']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["for instance , the android youtube app doesn ' t work well at all because it ' s very inconvenient to get videos into full - screen mode ."], "output": "[['android youtube app', 'software operation_performance', 'negative', \"' t work well\"], ['android youtube app', 'software operation_performance', 'negative', 'inconvenient']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive 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 pretty fast ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["so i ' m very happy and relieved to see it working excellently on the c302 ."], "output": "[['c302', 'laptop operation_performance', 'positive', 'NULL'], ['c302', 'laptop operation_performance', 'positive', 'excellently']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this is easily the best overall chromebook out there right now ( under $ 500 ) ."], "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": ["* battery * - battery life is great ."], "output": "[['battery', 'battery general', 'positive', 'great'], ['battery life', 'battery general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the backlight works great and i had no problems using it in the dark ."], "output": "[['backlight', 'keyboard operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it ' s a nice smooth surface so no tension when gliding across it ."], "output": "[['surface', 'laptop design_features', 'positive', 'nice'], ['surface', 'laptop design_features', 'positive', 'smooth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["multi - touch input works great ."], "output": "[['multi - touch input', 'keyboard operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["* build quality * - i ' m really pleased with the overall quality ."], "output": "[['build quality', 'laptop quality', 'positive', 'pleased'], ['NULL', 'laptop quality', 'positive', 'pleased']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it ' s light enough to carry pretty much every where ."], "output": "[['NULL', 'laptop portability', 'positive', 'light']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it starts up , runs without issues ."], "output": "[['starts up', 'os operation_performance', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["even the speakers are way better than i expected from a 2 in 1 at this price point ."], "output": "[['speakers', 'multimedia_devices general', 'positive', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this is finally the chromebook i ' ve been waiting for , that is not a $ 1300 pixel ."], "output": "[['chromebook', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["- the screen has great contrast and is glossy and sharp"], "output": "[['screen', 'display operation_performance', 'positive', 'great'], ['screen', 'display operation_performance', 'positive', 'glossy'], ['screen', 'display operation_performance', 'positive', 'sharp']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["- this may be a personal preference but i did wish the screen was a tad bit brighter ."], "output": "[['screen', 'display design_features', 'negative', 'brighter']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD 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 great chromebook ."], "output": "[['chromebook', 'laptop general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this is a spectacular chromebook ."], "output": "[['chromebook', 'laptop 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": ["it ' s faster , the screen is much nicer , and it has twice the memory and four times the drive space ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'faster'], ['screen', 'display design_features', 'positive', 'nicer'], ['memory', 'memory design_features', 'positive', 'NULL'], ['drive space', 'hard_disc 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 core m3 processor allows the c302 to be fanless , as well , adding to the sleek design ."], "output": "[['design', 'laptop design_features', 'positive', 'sleek']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it ' s a real timesaver , honestly ."], "output": "[['NULL', 'display usability', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i find the display sharp and touch responsive to be quite excellent ."], "output": "[['display', 'display design_features', 'positive', 'sharp'], ['touch', 'keyboard operation_performance', 'positive', 'responsive'], ['touch', 'keyboard operation_performance', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["at the end of the day i think it is worth the extra cost if you are looking for a premium product feel ."], "output": "[['NULL', 'laptop general', 'positive', 'worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["- nice , bright screen ( touchscreen , too ! )"], "output": "[['screen', 'display design_features', 'positive', 'nice'], ['screen', 'display design_features', 'positive', 'bright'], ['touchscreen', 'display design_features', 'positive', 'nice'], ['touchscreen', 'display design_features', 'positive', 'bright']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["battery doesn ' t last nearly as long as advertised ."], "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": ["this is a very cleverly designed and fast machine ."], "output": "[['machine', 'laptop design_features', 'positive', 'cleverly'], ['machine', '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": ["operational speed - - likely the fastest laptop i have ever used ( for basic functions ) ."], "output": "[['laptop', 'laptop operation_performance', 'positive', 'fastest']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["edit 2 : 8 months in and everything is working 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": ["- trackpad isn ' t the best ."], "output": "[['trackpad', 'hardware operation_performance', 'neutral', \"' t the best\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["- the touch screen isn ' t as accurate as i wish , for cases like tapping tiny things around the edges ."], "output": "[['touch 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": ["- the screen size is an awkward 16 : 9 and provides a 1920x1080 resolution ( although the default is set to 1536x864 ) ."], "output": "[['screen', 'display design_features', 'negative', 'awkward']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["for 99 % of the people looking at chromebooks right now for personal use , this asus is probably the best choice in the market ."], "output": "[['asus', '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": ["overall , i am extremely impressed with this chromebook and would highly recommend this to others ."], "output": "[['chromebook', 'laptop general', 'positive', 'impressed'], ['chromebook', 'laptop general', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it works well as a tablet ."], "output": "[['tablet', 'laptop operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it works great as a laptop and for the things i do which tend to be web based ."], "output": "[['laptop', 'laptop operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["nevertheless , i did have my own nitpicking issues with it but for the $ 250 price tag it launched with , it was well worth it ."], "output": "[['NULL', 'laptop price', 'positive', 'well worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i found the display to be very vibrant , with excellent pixel density ."], "output": "[['display', 'display design_features', 'positive', 'vibrant'], ['display', 'display design_features', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i like the dispersion of ports and feel it helps with the ergonomics of your daily usage ."], "output": "[['ports', 'ports 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": ["still , for $ 450 i ' m a huge fan of the screen and the excellent overall build quality ."], "output": "[['screen', 'display general', 'positive', 'NULL'], ['build quality', 'laptop quality', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["and even with all of the new competition hitting the market with higher price points , the c302 still offers the best premium chrome os experience at a respectable price ."], "output": "[['c302', 'laptop price', 'positive', 'respectable'], ['chrome os', 'os general', 'positive', 'best'], ['chrome os', 'os general', '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": ["the screen is fantastic ."], "output": "[['screen', 'display general', 'positive', 'fantastic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the mousepad feels very comfortable to use ."], "output": "[['mousepad', 'mouse usability', 'positive', 'comfortable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the battery performance is all it ' s cracked up to be ."], "output": "[['battery performance', 'battery operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the sound is rich and plenty loud enough , but it won ' t replace your music system ."], "output": "[['sound', 'multimedia_devices operation_performance', 'negative', 'rich'], ['sound', 'multimedia_devices operation_performance', 'negative', 'loud']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["backlit allow even guys with large hands to use this keyboard comfortably in any lighting ."], "output": "[['backlit', 'keyboard design_features', 'positive', 'comfortably'], ['keyboard', 'keyboard design_features', 'positive', 'comfortably']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the trackpad and touchscreen are both excellent ."], "output": "[['trackpad', 'keyboard general', 'positive', 'excellent'], ['touchscreen', 'display general', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the speaker sound is ok but not great ."], "output": "[['speaker sound', 'multimedia_devices general', 'neutral', 'ok'], ['speaker sound', 'multimedia_devices general', 'neutral', 'not great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i really do love this chromebook because it provides a large amount of utility and is perfect for a university setting and environment ."], "output": "[['chromebook', 'laptop general', 'positive', 'love'], ['chromebook', 'laptop general', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["* the usb - c ports are working well , and i bought a multiple port adapter , which gives me a regular usb port along with a hdmi port an another usb - c port for charging ."], "output": "[['usb - c ports', 'ports operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["speaker : good speakers but not the loudest ."], "output": "[['speakers', 'multimedia_devices operation_performance', 'positive', 'good'], ['NULL', 'multimedia_devices operation_performance', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the device is so sturdy and clean looking it is a pleasure to hold in my hands ."], "output": "[['device', 'laptop design_features', 'positive', 'sturdy'], ['device', 'laptop design_features', 'positive', 'clean'], ['device', 'laptop design_features', 'positive', 'pleasure']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the touchscreen is very responsive and works great in tablet mode ."], "output": "[['touchscreen', 'display operation_performance', 'positive', 'responsive'], ['touchscreen', 'display operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the battery life is touted as 10 hours but i find that 7 ."], "output": "[['battery life', 'battery operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this is a fantastic chromebook ."], "output": "[['chromebook', 'laptop general', 'positive', 'fantastic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["- single battery charge can last 13 - 9 hours depending on wifi / video / app demand"], "output": "[['battery charge', 'battery operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i love this chromebook ."], "output": "[['chromebook', 'laptop general', 'positive', 'love'], ['chromebook', 'laptop general', 'positive', 'love'], ['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 touchscreen works very well , and android apps are working right now if you ' re on the beta channel for chrome os ."], "output": "[['android apps', 'software operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["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": ["/ / really love this device ."], "output": "[['device', 'laptop general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i really like the keyboard ."], "output": "[['keyboard', 'keyboard general', 'positive', 'like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the only drawback to the device so far is that it ' s not especially comfortable to use in tablet mode ; the edges of the bezel are little too ` ` sharp ` ` to comfortably rest your palms and at 2 ."], "output": "[['edges of the bezel', 'laptop design_features', 'negative', 'sharp']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["as a laptop , this is just the size i need ."], "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": ["the keyboard is often - praised , but i don ' t find it particularly spectacular ."], "output": "[['keyboard', 'keyboard general', 'positive', 'praised'], ['keyboard', 'keyboard general', 'neutral', \"' t find it particularly 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": ["it is very light , and it seems surprisingly sturdy ."], "output": "[['NULL', 'laptop design_features', 'positive', 'light'], ['NULL', 'laptop design_features', 'positive', 'sturdy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the battery life seems just as promised ."], "output": "[['battery life', 'battery general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the keyboard is comfortable to type on , although i haven ' t done so for more than a 1 - 2 hours ."], "output": "[['keyboard', 'keyboard usability', 'positive', 'comfortable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the screen is clear and bright and the system doesn ' t lag unless i have a large number of tabs open ."], "output": "[['screen', 'display design_features', 'positive', 'clear'], ['screen', 'display design_features', 'positive', 'bright'], ['system', '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": ["first , use case : i write a lot for work and use a chromebook as my daily driver for notes , word processing , spreadsheets , etc ."], "output": "[['chromebook', 'laptop general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["battery last incredibly long ."], "output": "[['battery', 'battery operation_performance', 'positive', 'incredibly'], ['battery', 'battery operation_performance', 'positive', 'long']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it found and connected to my wireless printer also with no problems ."], "output": "[['it', 'laptop connectivity', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this is exactly what i wanted ."], "output": "[['NULL', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i now feel like this could be my main computer for work and fun ."], "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": ["give the asus flip 302 consideration ."], "output": "[['asus flip 302', '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": ["its battery life is quite good and the keyboard experience is great ."], "output": "[['battery life', 'battery general', 'positive', 'good'], ['keyboard', 'keyboard operation_performance', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the plugs are good and bad ."], "output": "[['plugs', 'ports general', 'neutral', 'good and bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i plugged in regular headphones and it was horribly low - very unenjoyable to listen to music this way ."], "output": "[['headphones', 'multimedia_devices operation_performance', 'negative', 'horribly'], ['headphones', 'multimedia_devices operation_performance', 'negative', 'low'], ['headphones', 'multimedia_devices operation_performance', 'negative', 'unenjoyable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD 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 sized keyboard , works great as a tablet ( even shuts off the keyboard in tablet mode ) ."], "output": "[['keyboard', 'keyboard design_features', 'positive', 'nice'], ['tablet', '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": ["this machine is far better than anything i ' ve ever owned ."], "output": "[['machine', 'laptop general', 'positive', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["perfect size to use in bed and nice and bright ."], "output": "[['size', 'laptop design_features', 'positive', 'perfect'], ['size', 'laptop design_features', 'positive', 'nice'], ['size', 'laptop design_features', 'positive', 'bright']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i don ' t think you ' ll find a better laptop at this price point ."], "output": "[['laptop', 'laptop price', 'positive', \"' t think you ' ll find a 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 ' s super thin and super light ."], "output": "[['NULL', 'laptop design_features', 'positive', 'thin'], ['NULL', 'laptop design_features', 'positive', 'light']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["as a traveler , this fits in my backpack without all the added weight of a small 13 ` ` laptop ."], "output": "[['NULL', 'laptop portability', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it is very light in weight but feels quite durable and strong ."], "output": "[['NULL', 'laptop design_features', 'positive', 'light'], ['NULL', 'laptop operation_performance', 'positive', 'durable'], ['NULL', 'laptop operation_performance', 'positive', 'strong']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the picture quality is very good and the book itself is responsive and fast ."], "output": "[['picture quality', 'display quality', 'positive', 'good'], ['book', 'laptop operation_performance', 'positive', 'responsive'], ['book', 'laptop operation_performance', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i can ' t recommend the asus c302 enough ."], "output": "[['asus c302', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the keyboard itself is probably the one physical weak point ."], "output": "[['keyboard', 'keyboard design_features', '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 touchscreen works well ."], "output": "[['touchscreen', 'display operation_performance', 'positive', 'well']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["but , it does work and is handy ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'handy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it ' s very light and sitting on the couch typing this is comfortable ."], "output": "[['NULL', 'laptop design_features', 'positive', 'light'], ['NULL', 'laptop usability', 'positive', 'comfortable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["sound is really low while using an aux speaker / headphone ."], "output": "[['sound', 'multimedia_devices operation_performance', 'negative', 'low'], ['aux speaker / headphone', 'multimedia_devices operation_performance', 'negative', 'low']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["spacebar doesn ' t always accept input"], "output": "[['spacebar', 'keyboard operation_performance', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this is my favorite computer of all the ones i have ever owned ."], "output": "[['computer', 'laptop general', 'positive', 'favorite']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the battery life is stunning ."], "output": "[['battery life', 'battery general', 'positive', 'stunning']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i ' ve just gotten started so this review may evolve over time but after several days i ' m insanely satisfied with this purchase and am going to be showing off to my friends for the foreseeable future ."], "output": "[['purchase', 'laptop general', 'positive', 'satisfied']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this chromebook is one of the best computers i ' ve ever used ."], "output": "[['chromebook', 'laptop general', 'positive', 'best'], ['computers', 'laptop general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the asus chromebook flip 302ca is smooth , fast and incredibly well engineered and built ."], "output": "[['asus chromebook flip 302ca', 'laptop operation_performance', 'positive', 'smooth'], ['asus chromebook flip 302ca', 'laptop operation_performance', 'positive', 'fast'], ['asus chromebook flip 302ca', 'laptop design_features', 'positive', 'incredibly'], ['asus chromebook flip 302ca', '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": ["the screen resolution is great ."], "output": "[['screen resolution', 'display general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the touch pad is accurate ."], "output": "[['touch pad', 'hardware operation_performance', 'positive', 'accurate']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["my only gripe is that i wish there was a way to default the screen brightness as well as default the keyboard backlight to off ."], "output": "[['screen brightness', 'display design_features', 'negative', 'NULL'], ['keyboard backlight', 'keyboard design_features', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["at a $ 500 price tag for a chromebook i was a little hesitant to pull the trigger but at this point i am very pleased with the purchase and i believe it is worth the price ."], "output": "[['purchase', 'laptop general', 'positive', 'pleased'], ['chromebook', 'laptop price', 'positive', 'worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it ' s really nice to have the touchscreen when using apps and i can seamlessly transition back to using the trackpad / keyboard depending on what i ' m doing ."], "output": "[['touchscreen', 'display usability', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["keyboard is comfortable and screen is sharp ."], "output": "[['keyboard', 'keyboard usability', 'positive', 'comfortable'], ['screen', 'display design_features', 'positive', 'sharp']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["its very portable and battery should last full day of normal usage ."], "output": "[['NULL', 'laptop portability', 'positive', 'portable'], ['battery', 'battery operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i truly 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 touch screen is really accurate , and the 360 flip feature is really easy - i can switch to tablet mode anytime , although i use this much more often as a laptop ."], "output": "[['360 flip', 'out_of_scope 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": ["the pros definitely outweigh the cons , earning this chromebook 5 stars ."], "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": ["great computer , especially for the price ."], "output": "[['computer', 'laptop general', 'positive', 'great'], ['computer', 'laptop price', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["- two usb - c for charging ( no more odd angles ! )"], "output": "[['usb - c', 'ports general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["- price is a bit expensive for a chromebook"], "output": "[['chromebook', '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 perfect for school , surfing the web , and watching videos ."], "output": "[['NULL', 'laptop general', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i really love the laptop , it is exactly what i wanted and expected in the price range and i ' m super happy with it !"], "output": "[['laptop', 'laptop general', 'positive', 'love'], ['laptop', '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": ["it feels and performs mighty solid as a laptop ."], "output": "[['laptop', 'laptop operation_performance', 'positive', 'solid']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the wifi connectivity is strong and consistent in my experience ."], "output": "[['wifi connectivity', 'ports operation_performance', 'positive', 'strong'], ['wifi connectivity', 'ports operation_performance', 'positive', 'consistent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the only thing i didn ' t like is the screen isn ' t bright enough and the speakers aren ' t louder ."], "output": "[['screen', 'display operation_performance', 'negative', \"' t like\"], ['screen', 'display operation_performance', 'negative', \"' t bright\"], ['speakers', 'multimedia_devices operation_performance', 'negative', \"' t louder\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["c302ca - dh54 gets the job done for work that doesn ' t require multiple cores for rendering , weight painting or ripping ."], "output": "[['c302ca - dh54', '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 graphics are great ."], "output": "[['graphics', 'graphics general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i ' m in college right new studying information technology and it ' s been able to do everything i ' ve needed ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it ' s a bit pricey for a chromebook but worth it right now ."], "output": "[['NULL', 'laptop price', 'negative', 'pricey'], ['NULL', 'laptop general', 'positive', 'worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the only drawback is that it does not run the native android versions of microsoft office , and they should warn you about that ."], "output": "[['microsoft office', 'software operation_performance', '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": ["this has met and exceeded my expectations ."], "output": "[['NULL', 'laptop general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this is a small , well built product ideal for general usage ."], "output": "[['product', 'laptop design_features', 'positive', 'small'], ['product', 'laptop design_features', 'positive', 'well built'], ['product', 'laptop design_features', 'positive', 'ideal']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the screen resolution is also very good when watching movies or viewing photos ."], "output": "[['screen resolution', 'display operation_performance', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i would highly recommend this !"], "output": "[['NULL', 'laptop general', 'positive', 'recommend'], ['NULL', 'laptop general', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i love the backlight , it ' s not so bright as to blind you at night time ."], "output": "[['backlight', 'keyboard 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": ["speaker ' s are ok but not amazing , i do like that they are mounted on the sides so they work well in laptop or tablet mode equally well ."], "output": "[['speaker', 'multimedia_devices operation_performance', 'positive', 'well'], ['speaker', 'multimedia_devices 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": ["being able to use play store apps has been a huge plus and i ' m now so comfortable with google docs , i ' very already forgotten i even owned a windows laptop ."], "output": "[['google docs', 'software usability', 'positive', 'comfortable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["but this screen is really good and the keyboard and form factor are much better ."], "output": "[['screen', 'display general', 'positive', 'good'], ['keyboard', 'keyboard general', 'positive', 'better'], ['form factor', 'laptop design_features', 'positive', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i really enjoy the 2 - 1 aspect of the device and really like how when folded into tablet mode , there aren ' t any weird groves on the sides ."], "output": "[['tablet mode', 'laptop general', 'positive', 'like']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the computer itself is not bad , the 360 rotation and touch screen feel good ."], "output": "[['computer', 'laptop general', 'neutral', 'not bad'], ['360 rotation', 'hardware design_features', 'positive', 'good'], ['touch 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": ["battery life is amazing ."], "output": "[['battery life', 'battery operation_performance', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["very good purchase ."], "output": "[['NULL', 'laptop general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["in laptop form , it ' s mediocre at best ."], "output": "[['laptop form', 'laptop general', 'neutral', 'mediocre']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this chromebook is really one of the best you can own , in my opinion one of the best laptops in general !"], "output": "[['chromebook', 'laptop general', 'positive', 'best'], ['laptops', '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 battery life is great and i love the touchscreen / flip feature ."], "output": "[['battery life', 'battery general', 'positive', 'great'], ['NULL', '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": ["audio quest dragonfly is automatically detected and runs perfectly when attached to one of the usb - c ports ."], "output": "[['usb - c ports', 'ports operation_performance', 'positive', 'perfectly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the keyboard is backlit and big enough for my fingers ."], "output": "[['keyboard', 'keyboard design_features', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i love everything about this laptop , the keyboard , screen resolution , and speed ."], "output": "[['laptop', 'laptop general', 'positive', 'love'], ['keyboard', 'keyboard general', 'positive', 'love'], ['screen resolution', '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 battery lasts at least 8 - 9 hours using it to type notes and simple web browsing , making it perfect for students ."], "output": "[['battery', 'battery operation_performance', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it is quick , battery lasts a long time and certainly does what i need it to do ( which is web surfing multiple pages at the same time while having a few ms documents open ) ."], "output": "[['NULL', 'laptop operation_performance', 'positive', 'quick'], ['battery', 'battery operation_performance', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it ' s a clean , mean , lean , machine ."], "output": "[['machine', 'laptop design_features', 'positive', 'clean'], ['machine', 'laptop design_features', 'positive', 'mean'], ['machine', 'laptop design_features', 'positive', 'clean']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the switch has been awesome ."], "output": "[['switch', 'hardware general', 'positive', 'awesome']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the backlit keyboard is awesome at night ."], "output": "[['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": ["keyboard was a little confusing ."], "output": "[['keyboard', 'keyboard general', 'negative', 'confusing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["screen display is bright and has excellent graphics ."], "output": "[['screen display', 'display operation_performance', 'positive', 'bright'], ['graphics', 'graphics general', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["yum !"], "output": "[['NULL', 'food quality', 'positive', 'yum']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["serves really good sushi ."], "output": "[['sushi', 'food quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["not the biggest portions but adequate ."], "output": "[['portions', 'food style_options', 'neutral', 'not the biggest'], ['portions', 'food style_options', 'neutral', '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": ["green tea creme brulee is a must !"], "output": "[['green tea creme brulee', 'food quality', 'positive', 'must']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it has great sushi and even better service ."], "output": "[['sushi', 'food quality', 'positive', 'great'], ['service', 'service general', 'positive', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the entire staff was extremely accomodating and tended to my every need ."], "output": "[['staff', 'service general', 'positive', 'accomodating']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i ' ve been to this restaurant over a dozen times with no complaints to date ."], "output": "[['restaurant', 'restaurant general', 'positive', 'no complaints']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the owner is belligerent to guests that have a complaint ."], "output": "[['owner', 'service general', 'negative', 'belligerent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["good food !"], "output": "[['food', 'food quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this is a great place to get a delicious meal ."], "output": "[['meal', 'food quality', 'positive', 'delicious'], ['place', 'restaurant general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the staff is pretty friendly ."], "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": ["the onion rings are great !"], "output": "[['onion rings', '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 lemon chicken tasted like sticky sweet donuts and the honey walnut prawns , the few they actually give you . . . . . were not good ."], "output": "[['lemon chicken', 'food quality', 'negative', 'sticky sweet'], ['honey walnut prawns', 'food quality', 'negative', 'not good'], ['honey walnut prawns', 'food style_options', '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": ["nice ambience , but highly overrated place ."], "output": "[['ambience', 'ambience general', 'positive', 'nice'], ['place', 'restaurant general', 'negative', 'overrated']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["worst service i ever had"], "output": "[['service', 'service general', 'positive', '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": ["everyone that sat in the back outside agreed that it was the worst service we had ever received ."], "output": "[['service', 'service general', 'negative', 'worst']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["our waiter was non - existent and after our food finally arrived over an hour after we ordered , we were not given any water or utensils ."], "output": "[['waiter', '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": ["i complained to the manager , but he was not even apologetic ."], "output": "[['manager', 'service general', 'negative', 'not even apologetic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["fabulous italian food !"], "output": "[['italian food', 'food quality', 'positive', 'fabulous']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["\u2013 i highly recommend mioposto ."], "output": "[['mioposto', 'restaurant general', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i am so happy to have a wonderful italian restaurant in my neighborhood ."], "output": "[['italian restaurant', 'restaurant general', 'positive', 'wonderful'], ['italian restaurant', 'restaurant general', 'positive', 'happy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the wine list is wonderful and the food reminds me of my recent trip to italy ."], "output": "[['wine list', 'drinks style_options', 'positive', 'wonderful'], ['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": ["i love this restaurant"], "output": "[['restaurant', '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": ["\u2013 i will never forget the amazing meal , service , and ambiance i experience at this restaurant ."], "output": "[['meal', 'food quality', 'positive', 'amazing'], ['service', 'service general', 'positive', 'amazing'], ['ambiance', 'ambience 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 wine list is incredible and extensive and diverse , the food is all incredible and the staff was all very nice , good at their jobs and cultured ."], "output": "[['wine list', 'drinks style_options', 'positive', 'incredible'], ['wine list', 'drinks style_options', 'positive', 'extensive'], ['wine list', 'drinks style_options', 'positive', 'diverse'], ['food', 'food quality', 'positive', 'incredible'], ['staff', 'service general', 'positive', 'nice'], ['staff', 'service general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i have not a bad thing to say about this place ."], "output": "[['place', 'restaurant general', 'positive', 'not a bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the food was 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": ["it ' s * very * reasonably priced , esp for the quality of the food ."], "output": "[['food', 'food quality', 'positive', 'reasonably'], ['food', 'food prices', 'positive', 'reasonably']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i had the kafta plate and it was perfect ."], "output": "[['kafta plate', '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": ["\u2013 in a age of incremental cost cutting in restaurants , its nice to see a place that bucks that trend , and just plain delivers high quality food and good service , period ."], "output": "[['food', 'food quality', 'positive', 'high quality'], ['service', 'service general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this is the place to relax and enjoy the finest quality food the industry can offer ."], "output": "[['place', 'ambience general', 'positive', 'relax'], ['place', 'ambience general', 'positive', 'enjoy'], ['food', 'food quality', 'positive', 'finest quality']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["caution - its real food for people who love the best ."], "output": "[['food', 'food quality', 'positive', 'real'], ['food', 'food quality', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i liked the atmosphere very much but the food was not worth the price ."], "output": "[['atmosphere', 'ambience general', 'positive', 'liked'], ['food', 'food quality', 'negative', 'not worth'], ['food', '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": ["i may not be a sushi guru but i can tell you that the food here is just okay and that there is not much else to it ."], "output": "[['food', 'food quality', 'negative', 'okay']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["rice is too dry , tuna was n ' t so fresh either ."], "output": "[['rice', 'food quality', 'negative', 'dry'], ['tuna', 'food quality', 'negative', \"n ' t so 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": ["i have eaten here three times and have found the quality and variety of the fish to be excellent ."], "output": "[['fish', 'food quality', 'positive', 'excellent'], ['fish', 'food style_options', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["however , the value and service are both severely lacking ."], "output": "[['service', 'service general', 'negative', 'lacking'], ['value', 'restaurant prices', 'negative', 'lacking']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["furthermore , while the fish is unquestionably fresh , rolls tend to be inexplicably bland ."], "output": "[['fish', 'food quality', 'positive', 'fresh'], ['rolls', '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 service ranges from mediocre to offensive ."], "output": "[['service', 'service general', 'negative', 'mediocre'], ['service', 'service general', 'negative', 'offensive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["on a recent trip , our waiter was extremely dismissive , while no less than three staff members waited hand - and - foot on a pair of japanese girls seated nearby ."], "output": "[['waiter', 'service general', 'negative', 'dismissive'], ['staff members', '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": ["freshest sushi \u2013 i love this restaurant ."], "output": "[['sushi', 'food quality', 'positive', 'freshest'], ['restaurant', '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": ["they pay such detail to everything from miso soup to complex rolls ."], "output": "[['miso soup', 'food quality', 'positive', 'NULL'], ['rolls', 'food quality', 'positive', 'complex']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the sashimi was the freshest and most tender i have ever tasted ."], "output": "[['sashimi', 'food quality', 'positive', 'freshest'], ['sashimi', 'food quality', 'positive', 'tender']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["their apps are all delicious ."], "output": "[['apps', '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": ["the only drawback is that this place is really expensive and the portions are on the small side ."], "output": "[['place', 'restaurant prices', 'negative', 'expensive'], ['portions', 'food style_options', '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": ["but the space is small and lovely , and the service is helpful ."], "output": "[['space', 'ambience general', 'positive', 'small'], ['space', 'ambience general', 'positive', 'lovely'], ['service', 'service general', 'positive', 'helpful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["\u2013 the food was not great & the waiters were rude ."], "output": "[['food', 'food quality', 'negative', 'not great'], ['waiters', 'service general', 'negative', 'rude']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["great service"], "output": "[['service', 'service general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["my service was stellar !"], "output": "[['service', 'service general', 'positive', 'stellar']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the bus boy even spotted that my table was shaking a stabilized it for me ."], "output": "[['bus boy', '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": ["food was fine , with a some little - tastier - than - normal salsa ."], "output": "[['food', 'food quality', 'positive', 'fine'], ['salsa', '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": ["the food was great , the margaritas too but the waitress was too busy being nice to her other larger party than to take better care of my friend and me ."], "output": "[['food', 'food quality', 'positive', 'great'], ['margaritas', 'food quality', 'positive', 'great'], ['waitress', 'service general', 'negative', 'busy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["mama mia \u2013 i live in the neighborhood and feel lucky to live by such a great pizza place ."], "output": "[['pizza place', 'restaurant general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the only problem is you really have to warm up the pizza before it ' s edible , even when you order ahead ."], "output": "[['pizza', 'food quality', 'negative', 'problem']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["but once done , it ' s not too much dough , not too much cheese , not too much sauce ."], "output": "[['NULL', 'food quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["best sushi in town ."], "output": "[['sushi', 'food quality', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the best calamari in seattle !"], "output": "[['calamari', '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": ["\u2013 . . . and the best summertime deck experience - - they will even bring you a blanket if you get cold in the seattle evening weather ."], "output": "[['deck', 'ambience general', 'positive', 'best'], ['NULL', 'service general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["a perfect place to take out of town guests any time of the year ."], "output": "[['place', 'restaurant general', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["endless fun , awesome music , great staff ! ! !"], "output": "[['music', 'ambience general', 'positive', 'awesome'], ['staff', 'service general', 'positive', 'great'], ['NULL', 'restaurant general', 'positive', 'fun']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["\u2013 by far the best bar in the east village . . ."], "output": "[['bar', 'restaurant general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["great draft and bottle selection and the pizza rocks ."], "output": "[['draft and bottle selection', 'drinks style_options', 'positive', 'great'], ['pizza', 'food quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["definitely has one of the best jukebox ' s i ' ve seen in a long long time ."], "output": "[[\"jukebox ' s\", 'ambience general', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the food is great , the bartenders go that extra mile ."], "output": "[['food', 'food quality', 'positive', 'great'], ['bartenders', '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 owners are great fun and the beer selection is worth staying for ."], "output": "[['owners', 'service general', 'positive', 'great'], ['owners', 'service general', 'positive', 'fun'], ['beer selection', 'drinks style_options', 'positive', 'worth staying for']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["and the upstairs is a great place to hang out ."], "output": "[['upstairs', '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": ["not alot of smoking places left in new york , but i have found my favorite smoking balconey in the city ."], "output": "[['balconey', 'restaurant miscellaneous', '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 sushi here is delicious !"], "output": "[['sushi', '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": ["they have a wide variety of fish and they even list which oceans they come from ; atlantic or pacific ."], "output": "[['fish', 'food style_options', 'positive', 'wide']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i ' ve had the jellyfish , horse mackerel , blue fin tuna and the sake ikura roll among others , and they were all good ."], "output": "[['jellyfish', 'food quality', 'positive', 'good'], ['horse mackerel', 'food quality', 'positive', 'good'], ['blue fin tuna', 'food quality', 'positive', 'good'], ['sake ikura roll', '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": ["my only negative comment is that i wish the pieces were a little bigger ."], "output": "[['pieces', '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 decor is rustic , traditional japanese ."], "output": "[['decor', 'ambience general', 'neutral', 'rustic'], ['decor', 'ambience general', 'neutral', 'traditional japanese']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the crowd is mixed yuppies , young and old ."], "output": "[['crowd', 'restaurant miscellaneous', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the service was courteous and attentive ."], "output": "[['service', 'service general', 'positive', 'courteous'], ['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": ["mediocre food"], "output": "[['food', 'food quality', '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": ["the outside patio area has an abbreviated menu ."], "output": "[['menu', 'food style_options', 'neutral', 'abbreviated']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD 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 g / f and i both agreed the food was very mediocre especially considering the price ."], "output": "[['food', 'food quality', 'negative', 'mediocre'], ['food', 'food prices', '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": ["we are locals , and get the feeling the only way this place survives with such average food is because most customers are probably one - time customer tourists ."], "output": "[['place', 'restaurant general', 'negative', 'NULL'], ['food', 'food quality', 'negative', 'average']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["service was decent ."], "output": "[['service', 'service general', 'neutral', 'decent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["drinks were good ."], "output": "[['drinks', 'drinks quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["excellent food , nice ambience , fairly expensive"], "output": "[['food', 'food quality', 'positive', 'excellent'], ['ambience', 'ambience general', 'positive', 'nice'], ['NULL', 'restaurant prices', 'negative', 'expensive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["\u2013 i loved the pumpkin ravioli and the goat cheese gnocchi ( 5 big ones to a plate instead of 20 or so little gnocchis ) and my sister loved her filet mignon on top of spinach and mashed potatoes ."], "output": "[['pumpkin ravioli', 'food quality', 'positive', 'loved'], ['goat cheese gnocchi', 'food quality', 'positive', 'loved'], ['goat cheese gnocchi', 'food style_options', 'positive', 'NULL'], ['filet mignon on top of spinach and mashed potatoes', 'food quality', 'positive', 'loved']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the ambiance was a peaceful and relaxing break amongst all the kids running around in downtown disney ."], "output": "[['ambiance', 'ambience general', 'positive', 'peaceful'], ['ambiance', 'ambience general', 'positive', 'relaxing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["best indian food in l . a ."], "output": "[['indian food', 'food quality', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the chicken curry and chicken tikka masala are my favorite meat dishes ."], "output": "[['chicken curry', 'food quality', 'positive', 'favorite'], ['chicken tikka masala', '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 chana masala ( garbanzo beans ) are also excellent ."], "output": "[['chana masala ( garbanzo beans )', 'food quality', 'positive', 'also']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive 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 located in a strip mall near the beverly center , not the greatest location , but the food keeps me coming back for more ."], "output": "[['location', 'location general', 'neutral', 'not the greatest'], ['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": ["never too crowded and always great service ."], "output": "[['service', 'service general', 'positive', 'great'], ['NULL', 'restaurant miscellaneous', 'positive', 'never too crowded']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i think i have probably tried each item on their menu at least once it is all excellent ."], "output": "[['menu', '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": ["i can highly recommend their various saag and paneer and korma ."], "output": "[['saag', 'food quality', 'positive', 'recommend'], ['paneer', 'food quality', 'positive', 'recommend'], ['korma', '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 appreciate their delivery too ."], "output": "[['delivery', 'service general', 'positive', 'appreciate']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["nice food but no spice !"], "output": "[['food', 'food quality', 'positive', 'nice'], ['food', 'food quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["\u2013 i really enjoyed my meal here ."], "output": "[['meal', 'food quality', 'positive', 'enjoyed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i had yummy lamb korma , saag paneer , samosas , naan , etc ."], "output": "[['lamb korma', 'food quality', 'positive', 'yummy'], ['saag paneer', 'food quality', 'positive', 'yummy'], ['samosas', 'food quality', 'positive', 'yummy'], ['naan', 'food quality', 'positive', 'yummy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the food was all good but it was way too mild ."], "output": "[['food', 'food quality', 'positive', 'good'], ['food', 'food quality', 'negative', 'too mild']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the naan was some of the best i ' ve had and i really enjoyed the bhartha , not too tomatoey ."], "output": "[['naan', 'food quality', 'positive', 'best'], ['bhartha', 'food quality', 'positive', 'enjoyed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["even the chickpeas , which i normally find too dry , were good ."], "output": "[['chickpeas', '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": ["\u2013 i do n ' t understand how i was a stranger to this place for so long . . . the fajita salad , the colorado , the fajitas - everything is delicious ."], "output": "[['fajita salad', 'food quality', 'positive', 'delicious'], ['colorado', 'food quality', 'positive', 'delicious'], ['fajitas', 'food quality', 'positive', 'delicious'], ['NULL', 'food quality', 'positive', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i love the warm & cosy environment ."], "output": "[['environment', 'ambience general', 'positive', 'warm'], ['environment', 'ambience general', 'positive', 'cosy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive 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 found out that you can have the place to yourself on nights and weekends for a private party - ca n ' t wait to celebrate my next birthday there ."], "output": "[['place', 'restaurant miscellaneous', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["best restaurant in the world , great decor , great customer service , friendly manager"], "output": "[['restaurant', 'restaurant general', 'positive', 'best'], ['decor', 'ambience general', 'positive', 'great'], ['customer service', 'service general', 'positive', 'great'], ['manager', '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 am never disappointed with there food ."], "output": "[['food', 'food quality', 'positive', 'never 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 atmosphere is great ."], "output": "[['atmosphere', 'ambience general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["great lunch spot"], "output": "[['lunch spot', '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": ["\u2013 great financial district mexican spot ."], "output": "[['mexican spot', '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": ["always busy , but they are good at seating you promptly and have quick service ."], "output": "[['service', 'service general', 'positive', 'quick'], ['NULL', 'service general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["everything i ' ve had here is good , taco salads , burritos , enchiladas i love this place ."], "output": "[['taco salads', 'food quality', 'positive', 'good'], ['burritos', 'food quality', 'positive', 'good'], ['enchiladas', 'food quality', 'positive', 'good'], ['place', 'restaurant general', 'positive', 'love'], ['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": ["also have great margaritas !"], "output": "[['margaritas', 'drinks quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the food is simply unforgettable !"], "output": "[['food', 'food quality', 'positive', 'unforgettable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the presentation of the food was an added bonus , it looked just as great as it tasted !"], "output": "[['food', 'food quality', 'positive', 'great'], ['food', 'food style_options', 'positive', 'bonus']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD 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 best friend had the chicken shawarma and she still raves about it being the best anywhere !"], "output": "[['chicken shawarma', 'food quality', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the staff are friendly and the decor was ethic and colorful ."], "output": "[['staff', 'service general', 'positive', 'friendly'], ['decor', 'ambience general', 'positive', 'ethic'], ['decor', 'ambience general', 'positive', 'colorful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["go to open sesame ! ! !"], "output": "[['open sesame', '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": ["holy hummus !"], "output": "[['hummus', 'food quality', 'positive', 'holy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["\u2013 the food is here is incredible , though the quality is inconsistent during lunch ."], "output": "[['food', 'food quality', 'positive', 'incredible'], ['lunch', 'food quality', 'negative', 'inconsistent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["dinners have always been excellent , in terms of food quality ."], "output": "[['dinners', 'food quality', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the open sesame combo plate is a bargain for the heap of food given ."], "output": "[['open sesame combo plate', 'food prices', 'positive', 'bargain'], ['open sesame combo plate', 'food style_options', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the side of potatoes is to die for , as is the labne ( yogurt dip ) ."], "output": "[['side of potatoes', 'food quality', 'positive', 'die for'], ['labne ( yogurt dip )', 'food quality', 'positive', 'die for']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["also , they serve the best hummus in america , with a drizzle of fragrant olive oil ( which , i believe is the traditional way ) !"], "output": "[['hummus', 'food quality', 'positive', 'best'], ['hummus', 'food style_options', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the only drawback is the crowded seating and the slow service ."], "output": "[['seating', 'restaurant miscellaneous', 'negative', 'crowded'], ['service', 'service general', 'negative', 'slow']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["however , this place is a gem , and i wo n ' t stop going back ."], "output": "[['place', 'restaurant general', 'positive', 'gem']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["great beer"], "output": "[['beer', 'drinks quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["\u2013 my first time to dine at this restaurant was with my son and it was absolutely horrible !"], "output": "[['restaurant', '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": ["i swore never to return for a warm beer and mediocre meal ."], "output": "[['beer', 'drinks quality', 'negative', 'warm'], ['meal', '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 band was very good and the service was attentive ."], "output": "[['band', 'ambience general', 'positive', 'good'], ['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": ["we ordered a selection of the small plates , and the shoe string onions , goat cheese pizza , grilled asparagus and fried brie with fruit were all very good ."], "output": "[['shoe string onions', 'food quality', 'positive', 'good'], ['goat cheese pizza', 'food quality', 'positive', 'good'], ['grilled asparagus', 'food quality', 'positive', 'good'], ['fried brie with fruit', '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": ["seattle ' s best winelist"], "output": "[['winelist', 'drinks style_options', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["\u2013 ray ' s ( suprisingly ) has the city ' s best & most diverse wine list ."], "output": "[['diverse wine', 'drinks style_options', 'positive', 'most']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the sommelier is fantastic , down - to - earth , & extremely knowlegable ."], "output": "[['sommelier', 'service general', 'positive', 'fantastic'], ['sommelier', 'service general', 'positive', 'down - to - earth'], ['sommelier', 'service general', 'positive', 'knowlegable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i would go back for the wine experience alone ."], "output": "[['wine', 'drinks quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["not the place it once was"], "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": ["perhaps now , scooner or later falls into the ` ` dive ' ' category ."], "output": "[['scooner or later', '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": ["\u2013 it is sad to see a place that was once ` ` the ' ' place to meet and eat for bfast or lunch , now be the place that is a big ` ` dont bother . ' '"], "output": "[['place', 'restaurant 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": ["the food is not what it once was ( potions have seriously seen downsizing ) prices have gone up , and the service is the worst i have experienced anywhere ( including mainland europe ) ."], "output": "[['food', 'food quality', 'negative', 'NULL'], ['food', 'food prices', 'negative', 'NULL'], ['the', 'service general', 'negative', 'the'], ['service', 'service general', 'negative', 'worst']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["what may be interesting to most is the worst sevice / attitude comes from the owners of this establishment ."], "output": "[['owners', 'service general', 'negative', 'worst']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this establishment really made a marked decline after ( and this is recurring story ) the airing of food televisions ` ` diners , drive - ins , and dives ' ' hosted by guy fieri , in which schooner or later was subject of ."], "output": "[['establishment', '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": ["open & cool place with the best pizza and coffee"], "output": "[['place', 'ambience general', 'positive', 'cool'], ['pizza', 'food quality', 'positive', 'best'], ['coffee', '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": ["\u2013 mioposto has a very creative & delicious pizza menu ."], "output": "[['pizza menu', 'food quality', 'positive', 'delicious'], ['pizza menu', 'food style_options', 'positive', 'creative']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the coffe is very good , too ."], "output": "[['coffe', 'drinks quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["great open and friendly ambience ."], "output": "[['ambience', 'ambience general', 'positive', 'great'], ['ambience', 'ambience general', 'positive', 'open'], ['ambience', 'ambience general', 'positive', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this place is charming and relaxing ."], "output": "[['place', 'ambience general', 'positive', 'charming'], ['place', 'ambience general', 'positive', 'relaxing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the servers behind the counter are always friendly and helpful ."], "output": "[['servers behind the counter', 'service general', 'positive', 'friendly'], ['servers behind the counter', 'service general', 'positive', 'helpful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it ' s a great place to enjoy food and meet friends ."], "output": "[['food', 'food quality', 'positive', 'enjoy'], ['place', 'restaurant miscellaneous', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["great food , spectacular location , and friendly service keep us coming back year after year ."], "output": "[['food', 'food quality', 'positive', 'great'], ['location', 'location general', 'positive', 'spectacular'], ['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": ["enjoyed the food"], "output": "[['food', 'food quality', 'positive', 'enjoyed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["food was good and cheap ."], "output": "[['food', 'food quality', 'positive', 'good'], ['food', 'food prices', 'positive', 'cheap']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i had the kafta plate and i enjoyed it ."], "output": "[['kafta plate', 'food quality', 'positive', 'enjoyed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["atmosphere was nice ."], "output": "[['atmosphere', 'ambience general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["service was kind of slow , our waitress took forever to give us our check even though it was n ' t that busy ."], "output": "[['service', 'service general', 'negative', 'slow'], ['waitress', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["still i would 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": ["what else can you say nice people amazing food wow"], "output": "[['food', 'food quality', 'positive', 'amazing'], ['people', 'service general', 'positive', 'nice'], ['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["great food with an awesome atmosphere !"], "output": "[['food', 'food quality', 'positive', 'great'], ['atmosphere', 'ambience 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": ["\u2013 eggs , pancakes , potatoes , fresh fruit and yogurt - - everything they serve is delicious ."], "output": "[['eggs', 'food quality', 'positive', 'delicious'], ['pancakes', 'food quality', 'positive', 'delicious'], ['potatoes', 'food quality', 'positive', 'delicious'], ['fresh fruit', 'food quality', 'positive', 'delicious'], ['yogurt', 'food quality', 'positive', 'delicious'], ['NULL', 'food quality', 'positive', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the best place for a leisure sunday breakfast amidst yachts , then take a stroll through the nearby farmer ' s market ."], "output": "[['place', '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": ["great meal \u2013 the fish on the omikase platter was absolutely decadent - - there was none of the stringiness that sometimes accompanies fair sushi - - this fish was perfect ! ! ! !"], "output": "[['meal', 'food quality', 'positive', 'great'], ['fish on the omikase platter', 'food quality', 'positive', 'decadent'], ['fish on the omikase platter', '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": ["plus , i am allergic to rice , and the waitstaff was unbelievably accomodating - - did n ' t even bat an eye !"], "output": "[['waitstaff', 'service general', 'positive', 'accomodating']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["and the waiter suggested a perfect sake ! !"], "output": "[['waiter', 'service general', 'positive', 'NULL'], ['sake', 'drinks 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": ["unbeatable sushi !"], "output": "[['sushi', 'food quality', 'positive', 'unbeatable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["melt in your mouth nigiri and sashmi , and very tasty rolls too ."], "output": "[['nigiri', 'food quality', 'positive', 'NULL'], ['sashmi', 'food quality', 'positive', 'NULL'], ['rolls', 'food quality', 'positive', 'tasty']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["be sure to try the oyster roll ."], "output": "[['oyster roll', 'food quality', 'positive', 'try']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["\u2013 how to describe the best sushi in nyc : hmmmm , delicious , amazing , fantastic , suculent , perfect , nah , all of the above ."], "output": "[['sushi', 'food quality', 'positive', 'best'], ['sushi', 'food quality', 'positive', 'delicious'], ['sushi', 'food quality', 'positive', 'amazing'], ['sushi', 'food quality', 'positive', 'fantastic'], ['sushi', 'food quality', 'positive', 'suculent'], ['sushi', 'food quality', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i ca n ' t saybenough good things about this restaurant , and i ca n ' t wait for my next several visits ."], "output": "[['restaurant', 'restaurant general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the best chuwam mushi i have ever had ."], "output": "[['chuwam mushi', '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": ["good sushi , high price"], "output": "[['sushi', 'food quality', 'positive', 'good'], ['sushi', 'food prices', 'negative', 'high']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["one of the best sushi place in town ."], "output": "[['sushi 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": ["the house special roll is really good ."], "output": "[['house special roll', '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": ["brunch at murphy ' s is to die for , my specialty . . . egg white omelet , the food is always freshly prepared ."], "output": "[['brunch', 'food quality', 'positive', 'NULL'], ['egg white omelet', 'food quality', 'positive', 'freshly prepared'], ['food', 'food quality', 'positive', 'freshly prepared']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it ' s the perfect spot for a romantic date for 2 or a secret rendezvous !"], "output": "[['spot', 'restaurant miscellaneous', 'positive', 'perfect'], ['spot', 'ambience general', 'positive', 'perfect']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["save room for scrumptious desserts ."], "output": "[['desserts', 'food quality', 'positive', 'scrumptious']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the restaurant offers an extensive wine list and an ambiance you wo n ' t forget !"], "output": "[['wine list', 'drinks style_options', 'positive', 'extensive'], ['ambiance', '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": ["\u2013 best mexican place for lunch in the financial district ."], "output": "[['mexican 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": ["love the enchiladas and chicken soup - and be sure to check out their specials ."], "output": "[['enchiladas', 'food quality', 'positive', 'love'], ['chicken soup', 'food quality', 'positive', 'love'], ['specials', 'food quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the cooks have been at the restaurant for years and cook family recipes ."], "output": "[['cooks', '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": ["can get busy on fridays for a table but once seated , the service is so efficient you can be in and out of there quickly ."], "output": "[['service', 'service general', 'positive', 'efficient']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the sushi was excellent and the wait staff was quick ."], "output": "[['sushi', 'food quality', 'positive', 'excellent'], ['wait staff', 'service general', 'positive', 'quick']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the atmosphere was just okay ."], "output": "[['atmosphere', 'ambience general', 'neutral', 'okay']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["space was limited , but the food made up for it ."], "output": "[['space', 'restaurant miscellaneous', 'negative', 'limited'], ['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": ["we stood there for 10 minutes while employees walked back and forth ignoring us ."], "output": "[['employees', 'service general', 'negative', 'ignoring']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["finally , my wife stood face to face in front of one of the staff and she asked , ` ` are you waiting for a table ? ' '"], "output": "[['staff', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the caesar salad i ordered had so much lemon i could n ' t eat it ."], "output": "[['caesar salad', 'food quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["great food , better margaritas !"], "output": "[['food', 'food quality', 'positive', 'great'], ['margaritas', 'drinks quality', 'positive', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["\u2013 this is one of my top lunch spots , huge portions , fast service and amazing margaritas ! !"], "output": "[['portions', 'food style_options', 'positive', 'huge'], ['service', 'service general', 'positive', 'fast'], ['margaritas', 'drinks quality', 'positive', 'amazing'], ['NULL', 'restaurant general', 'positive', 'top']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it gets really busy , so get there on the early side so you can grab a seat , if you do have to wait , its not bad because the service is quick !"], "output": "[['service', 'service general', 'positive', 'quick']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["check out the art on the walls , very colorful !"], "output": "[['art on the walls', 'ambience general', 'positive', 'colorful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i 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": ["\u2013 i have been eating at this place for over 8 years now and i have never had one bad meal ."], "output": "[['meal', 'food quality', 'positive', 'bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i highly recommend this place to all that want to try indain food for the first time ."], "output": "[['indain food', 'food quality', 'positive', 'recommend']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the lunch menu is an awesome deal !"], "output": "[['lunch menu', 'food prices', '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": ["plenty of food , trust me ."], "output": "[['food', 'food style_options', 'positive', 'plenty of']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["fresh ingrediants and super tasty ."], "output": "[['ingrediants', 'food quality', 'positive', 'fresh'], ['NULL', 'food quality', 'positive', 'super']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["best food , phenominal service"], "output": "[['food', 'food quality', 'positive', 'best'], ['service', 'service general', 'positive', 'phenominal']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["for the finicky sushi eater and those who have sampled the best nyc has to offer , the fish is the freshest and the service is superb ."], "output": "[['fish', 'food quality', 'positive', 'freshest'], ['service', 'service general', 'positive', 'superb']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["not only can the selection be innovative , but there ' s a nice balance of traditional sushi as well ."], "output": "[['selection', 'food style_options', 'positive', 'innovative'], ['sushi', 'food style_options', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the nicest waiters in town ."], "output": "[['waiters', '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": ["\u2013 this place is unbelievably over - rated ."], "output": "[['place', 'restaurant general', 'negative', 'over - rated']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD 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 want to stand in line on sunday for an hour to get average brunch food , then i would put murphy ' s at the top of the list ."], "output": "[['brunch food', 'food quality', 'neutral', 'average'], ['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 regular menu here is slightly above average that is not worth the snotty attitude that you receive ."], "output": "[['regular menu', 'food quality', 'neutral', 'above average'], ['regular menu', 'food quality', 'neutral', 'not worth'], ['NULL', 'service general', 'negative', 'snotty']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["your a sushi fan , you love expertly cut fish , great sake , a killer soho location , and of course : salmon , tuna , fluke , yellow tail , cod , mackeral , jellyfish , sea urchin , shrimp , lobster , sea bream , trout , milk fish , blue fin tuna , eel , crab , sardine , monk fish , roe , scallop , oysters , and a varity of toro ."], "output": "[['sushi', 'food quality', 'positive', 'NULL'], ['fish', 'food style_options', 'positive', 'love'], ['sake', 'drinks quality', 'positive', 'great'], ['soho location', 'location general', 'positive', 'killer'], ['salmon', 'food quality', 'positive', 'NULL'], ['tuna', 'food quality', 'positive', 'NULL'], ['fluke', 'food quality', 'positive', 'NULL'], ['yellow tail', 'food quality', 'positive', 'NULL'], ['cod', 'food quality', 'positive', 'NULL'], ['mackeral', 'food quality', 'positive', 'NULL'], ['jellyfish', 'food quality', 'positive', 'NULL'], ['sea urchin', 'food quality', 'positive', 'NULL'], ['shrimp', 'food quality', 'positive', 'NULL'], ['lobster', 'food quality', 'positive', 'NULL'], ['sea bream', 'food quality', 'positive', 'NULL'], ['trout', 'food quality', 'positive', 'NULL'], ['milk fish', 'food quality', 'positive', 'NULL'], ['blue fin tuna', 'food quality', 'positive', 'NULL'], ['eel', 'food quality', 'positive', 'NULL'], ['crab', 'food quality', 'positive', 'NULL'], ['sardine', 'food quality', 'positive', 'NULL'], ['monk fish', 'food quality', 'positive', 'NULL'], ['roe', 'food quality', 'positive', 'NULL'], ['scallop', 'food quality', 'positive', 'NULL'], ['oysters', 'food quality', 'positive', 'NULL'], ['toro', '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": ["there is only one place on the east coast that has it all , plus a lot more ."], "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": ["bring your cell phone cause you may have to wait to get into the best sushi restaurant in the world : blue ribbon sushi ."], "output": "[['blue ribbon sushi', '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": ["hands down , the best tuna i have ever had ."], "output": "[['tuna', '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": ["blue ribbon lives up to it ' s fantastic reputation ."], "output": "[['blue ribbon', '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": ["great value sushi with high quality & nice setting ."], "output": "[['sushi', 'food prices', 'positive', 'great'], ['sushi', 'food prices', 'positive', 'value'], ['sushi', 'food quality', 'positive', 'high'], ['setting', 'ambience general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["try the chef ' s choice for sushi as the smoked yellowtail was incredible and the rolls were also tasty ."], "output": "[[\"chef ' s choice for sushi\", 'food quality', 'positive', 'NULL'], ['rolls', 'food quality', 'positive', 'tasty'], ['smoked yellowtail', 'food quality', 'positive', 'incredible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["poor customer service / poor pizza ."], "output": "[['customer service', 'service general', 'negative', 'poor'], ['pizza', 'food quality', 'negative', 'poor']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["\u2013 as with most restaurants in seattle , mioposto ' s service was bad and the food was overpriced ."], "output": "[['service', 'service general', 'negative', 'bad'], ['food', 'food prices', 'negative', 'overpriced']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i know many people have their favorite types of pizza and pizza places , but mioposto ' s pizza lacks quality and good taste ."], "output": "[['pizza', 'food quality', 'negative', 'lacks quality']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["to be honest , i ' ve had better frozen pizza ."], "output": "[['pizza', 'food quality', 'negative', '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 only positive thing about mioposto is the nice location ."], "output": "[['location', 'location general', 'positive', 'nice'], ['mioposto', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i was frankly shocked when i read the bad reviews - this place is fantastic ; it has not let us down in any way , and we ' ve eaten here more than 10 times ."], "output": "[['place', 'restaurant general', 'positive', 'fantastic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the food is fantastic , and the waiting staff has been perfect every single time we ' ve been there ."], "output": "[['food', 'food quality', 'positive', 'fantastic'], ['waiting staff', 'service 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 only problem would be the wait , but we usually just have a drink in the front while waiting ."], "output": "[['wait', 'service general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["seabass on lobster risotto was the best ."], "output": "[['seabass on lobster risotto', '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": ["caesar salad was superb ."], "output": "[['caesar salad', 'food quality', 'positive', 'superb']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["great bottle of wine ."], "output": "[['bottle of wine', 'drinks quality', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["leave room for dessert ."], "output": "[['dessert', 'food quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i waited for 10 - 15 minutes for service ordered a beer & was never served again ."], "output": "[['service', 'service general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the food was ok , but the service was so poor that the food was cold buy the time everyone in my party was served ."], "output": "[['food', 'food quality', 'neutral', 'ok'], ['service', 'service general', 'negative', 'poor']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["avoid the place"], "output": "[['place', 'restaurant general', 'negative', 'avoid']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["when i got there i sat up stairs where the atmosphere was cozy & the service was horrible !"], "output": "[['atmosphere', 'ambience general', 'positive', 'cozy'], ['service', 'service general', 'negative', 'horrible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["we left without ever getting service ."], "output": "[['service', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["best crab cakes in town"], "output": "[['crab cakes', '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": ["\u2013 thats a big statement considering i ' ve been pulling crab traps and making the cakes myself since i was about seven - but something about these little devils gets better every time ."], "output": "[['cakes', 'food quality', 'positive', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["if you can , come to this place by boat and make it a whole evening ."], "output": "[['place', 'restaurant miscellaneous', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["great seasonal fish and seafood , with a classy waterfront setting ."], "output": "[['seasonal fish', 'food quality', 'positive', 'great'], ['seafood', 'food quality', 'positive', 'great'], ['waterfront setting', 'ambience general', 'positive', 'classy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["great pizza , poor service"], "output": "[['pizza', 'food quality', 'positive', 'great'], ['service', 'service general', 'negative', 'poor']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["\u2013 love their pizza , especially the mushroom pizza ."], "output": "[['pizza', 'food quality', 'positive', 'love'], ['mushroom pizza', 'food quality', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["also love their caeser salad ."], "output": "[['caeser salad', 'food quality', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["prefer to order it and pick it up though because i do n ' t like the servers , one young woman in particular ."], "output": "[['servers', 'service general', 'negative', \"n ' t like\"], ['young woman', 'service general', 'negative', \"n ' 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": ["\u2013 this place is famous for their breakfast ."], "output": "[['breakfast', 'food quality', 'positive', 'famous']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD 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 people talk about the great pizza and poor service , so it ca n ' t just be the rantings of a few dissatisfied customers ."], "output": "[['pizza', 'food quality', 'positive', 'great'], ['service', 'service general', 'negative', 'poor']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it ' s a great little place with tons of potential to be a neighborhood joint if the service were n ' t so impersonal and corporate - like ."], "output": "[['place', 'restaurant general', 'positive', 'great little'], ['service', 'service general', 'negative', \"n ' t so impersonal\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD 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 breakfast"], "output": "[['breakfast', '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 is great and they make a mean bloody mary ."], "output": "[['food', 'food quality', 'positive', 'great'], ['bloody mary', 'drinks quality', '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 love breakfast here ."], "output": "[['breakfast', 'food quality', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["their crab eggs benedict is addicting ."], "output": "[['crab eggs benedict', 'food quality', 'positive', 'addicting']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD 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 their menu items are a hit , and they serve mimosas ."], "output": "[['menu items', 'food quality', 'positive', 'hit'], ['NULL', 'drinks style_options', 'positive', 'hit']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["best chinese food i have tasted in a long time"], "output": "[['chinese food', 'food quality', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the ambiance of the restaurant was nice and good for fine dinning ."], "output": "[['ambiance', 'ambience general', 'positive', 'nice'], ['ambiance', 'ambience general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the staff was very nice and courteous and obviously chinese ."], "output": "[['staff', 'service general', 'positive', 'nice'], ['staff', 'service general', 'positive', 'courteous']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["so about the prawns , they were fresh and had a slight crispiness about the batter . . . soooo good . . . the walnuts were cut in smaller pieces and very crunchy and tasty ."], "output": "[['prawns', 'food quality', 'positive', 'fresh'], ['batter', 'food quality', 'positive', 'crispiness'], ['walnuts', 'food quality', 'positive', 'crunchy'], ['walnuts', 'food quality', 'positive', 'tasty']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["best honey walnyt prawns that we have every tasted ."], "output": "[['honey walnyt prawns', 'food quality', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the brocollis were so fresh and tasty ."], "output": "[['brocollis', 'food quality', 'positive', 'fresh'], ['brocollis', 'food quality', 'positive', 'tasty']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i would normally not finish the brocolli when i order these kinds of food but for the first time , every piece was as eventful as the first one . . . the scallops and prawns was so fresh and nicely cooked ."], "output": "[['brocolli', 'food quality', 'positive', 'NULL'], ['prawns', 'food quality', 'positive', 'fresh'], ['prawns', 'food quality', 'positive', 'nicely cooked'], ['scallops', 'food quality', 'positive', 'fresh'], ['scallops', 'food quality', 'positive', 'nicely 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": ["chintzy portions"], "output": "[['portions', 'food style_options', 'negative', 'chintzy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["\u2013 the sushi here is perfectly good , but for $ 5 a piece , either the slices of fish should be larger , or there should be no pretense that this is a moderately priced restaurant ( even for nyc ) ."], "output": "[['sushi', 'food quality', 'negative', 'good'], ['sushi', 'food style_options', 'negative', 'NULL'], ['sushi', 'food prices', 'negative', 'NULL'], ['restaurant', 'restaurant prices', 'negative', 'moderately 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": ["terrible service , food ok , pricey"], "output": "[['service', 'service general', 'negative', 'terrible'], ['food', 'food quality', 'neutral', 'ok'], ['NULL', 'restaurant prices', 'negative', 'pricey']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["food wise , its ok but a bit pricey for what you get considering the restaurant is n ' t a fancy place ."], "output": "[['food', 'food quality', 'neutral', 'ok'], ['food', 'food prices', 'negative', 'pricey'], ['restaurant', 'ambience general', 'neutral', \"n ' t a fancy\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD 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 needed to name some they would include the location to the beach or golden gate park ."], "output": "[['location', 'location general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD 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 plus is the open feel of the restaurant with glass walls on all sides ."], "output": "[['feel', 'ambience general', 'positive', 'plus']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["amazing spanish mackeral special appetizer and perfect box sushi ( that eel with avodcao - - um um um ) ."], "output": "[['spanish mackeral special appetizer', 'food quality', 'positive', 'amazing'], ['box sushi', 'food quality', 'positive', 'perfect'], ['that eel with', '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": ["as usual the omikase did n ' t disappoint in freshness , although it scored low on creativity and selection ."], "output": "[['omikase', 'food quality', 'positive', \"n ' t disappoint\"], ['omikase', '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": ["their specialty rolls are impressive , though i ca n ' t remember what we had ."], "output": "[['specialty rolls', 'food quality', '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": ["green tea creme brulee gets better each time i have it ."], "output": "[['green tea creme brulee', 'food quality', 'positive', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["great selection of sakes ."], "output": "[['selection of sakes', 'drinks style_options', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it is n ' t the cheapest sushi but has been worth it every time ."], "output": "[['sushi', 'food prices', 'neutral', \"n ' t the cheapest\"], ['sushi', '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": ["very poor customer service ."], "output": "[['customer service', 'service general', 'negative', 'poor']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["\u2013 schooner or later ' s charming location along the marina in long beach and average food does not , unfortunately , compensate for its very poor customer service ."], "output": "[['location along the marina in long beach', 'location general', 'positive', 'charming'], ['food', 'food quality', 'neutral', 'average'], ['customer service', 'service general', 'negative', 'poor']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["while this diner had reasonably good food , the restaurant staff seemed completely indifferent to our presence , and this attitude was reflected in the lack of service ."], "output": "[['food', 'food quality', 'positive', 'good'], ['restaurant staff', 'service general', 'negative', 'indifferent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the fish was fresh , though it was cut very thin ."], "output": "[['fish', 'food quality', 'positive', 'fresh'], ['fish', 'food quality', 'negative', 'thin']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["great service ."], "output": "[['service', 'service general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["good sake selection ."], "output": "[['sake selection', 'drinks style_options', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["dungeness crabs here !"], "output": "[['dungeness crabs', '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": ["\u2013 ray ' s is the place to go for high quality seafood dinners ."], "output": "[['seafood dinners', 'food quality', 'positive', 'high quality']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i love dungeness crabs and at ray ' s you can get them served in about 6 different ways !"], "output": "[['dungeness crabs', 'food style_options', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["we shared the family platter and i especially enjoyed the black cod in sake kasu ."], "output": "[['black cod in sake kasu', 'food quality', 'positive', 'enjoyed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i ended the meal with the unusual dessert of a port and chocolate tasting . . . . yummy !"], "output": "[['dessert of a port and chocolate tasting', 'food quality', 'positive', 'unusual'], ['dessert of a port and chocolate tasting', 'food quality', 'positive', 'yummy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["and the service was simply spendid - quite a delight ."], "output": "[['service', 'service general', 'positive', 'spendid'], ['service', 'service general', 'positive', 'delight']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["\u2013 great drinks , corn beef hash , coffee , b fast burritos , gluten free menu ."], "output": "[['drinks', 'drinks quality', 'positive', 'great'], ['corn beef hash', 'food quality', 'positive', 'great'], ['coffee', 'drinks quality', 'positive', 'great'], ['b fast burritos', 'food quality', 'positive', 'great'], ['menu', 'food style_options', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the service is fantastic at this fun place ."], "output": "[['service', 'service general', 'positive', 'fantastic'], ['place', '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": ["if there is a line very day of the week for the entire time a place is open , you know it is great ."], "output": "[['place', 'restaurant general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["best neighborhood standby ."], "output": "[['standby', '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": ["in grammercy / union square / east village this is my neighbors and my favorite spot ."], "output": "[['spot', 'restaurant general', 'positive', 'favorite']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the music is great , no night better or worse , the bar tenders are generous with the pouring , and the lighthearted atmosphere will lifts you spirits ."], "output": "[['music', 'ambience general', 'positive', 'great'], ['bar tenders', 'drinks style_options', 'positive', 'generous'], ['atmosphere', 'ambience general', 'positive', 'lighthearted']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["oh , and the cheese fries are awesome !"], "output": "[['cheese fries', '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": ["good food , great service , average prices ( for the strip )"], "output": "[['food', 'food quality', 'positive', 'good'], ['service', 'service general', 'positive', 'great'], ['NULL', 'restaurant prices', 'neutral', 'average']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["when i walked in , i was taken aback by their incredible wood decor ."], "output": "[['wood decor', 'ambience general', 'positive', 'incredible']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the music playing was very hip , 20 - 30 something pop music , but the subwoofer to the sound system was located under my seat , which became annoying midway through dinner ."], "output": "[['music', 'ambience general', 'positive', 'very'], ['subwoofer to the sound system', 'ambience general', 'negative', 'annoying']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i got the shellfish and shrimp appetizer and it was alright ."], "output": "[['shellfish and shrimp appetizer', 'food quality', 'neutral', 'alright']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it was n ' t the freshest seafood ever , but the taste and presentation was ok ."], "output": "[['seafood', 'food style_options', 'neutral', 'ok'], ['seafood', 'food quality', 'neutral', 'ok']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i picked the asparagus , which turned out to be incredible and perfectly prepared ."], "output": "[['asparagus', 'food quality', 'positive', 'incredible'], ['asparagus', 'food quality', 'positive', 'perfectly prepared']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the 9 oz steak came next and it tasted great , at least initially ."], "output": "[['9 oz steak', '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 steak was done to my exact liking ( medium rare ) and was nice and juicy ."], "output": "[['steak', 'food quality', 'positive', 'nice'], ['steak', 'food quality', 'positive', 'juicy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive 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 served with either a peppercorn sauce or red wine reduction , though both were indistinguishable in taste ."], "output": "[['red wine reduction', 'food quality', 'neutral', 'indistinguishable'], ['peppercorn sauce', 'food quality', 'neutral', 'indistinguishable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD 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 , one thing i realized later on was that the restaurant either used msg or a meat tenderizer on the steak ."], "output": "[['steak', '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 desert was the perfect ending to an almost perfect dinner ."], "output": "[['desert', 'food quality', 'positive', 'perfect'], ['dinner', '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": ["overall , i would go back and eat at the restaurant again ."], "output": "[['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": ["but the servers were extremely attentive and very friendly ."], "output": "[['servers', 'service general', 'positive', 'attentive'], ['servers', '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": ["good sake , good food \u2013 i honestly do n ' t know much about japanese food at all ."], "output": "[['sake', 'drinks quality', 'positive', 'good'], ['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": ["server made several sake suggestions which were very good ."], "output": "[['sake', 'drinks quality', 'positive', 'good'], ['server', 'service general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["had many dishes but the best was the lobster 3 ways ."], "output": "[['lobster 3 ways', 'food quality', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the waiter was a bit unfriendly and the feel of the restaurant was crowded ."], "output": "[['waiter', 'service general', 'negative', 'unfriendly'], ['feel', 'ambience general', 'negative', 'crowded']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["also , there was only one bathroom stall - probably need more for such big crowds ."], "output": "[['bathroom stall', '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": ["most importantly , we were so excited about the food after seeing the very creative menu ."], "output": "[['menu', 'food style_options', 'positive', 'creative']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["at best , the food was good and definately overpriced ."], "output": "[['food', 'food quality', 'positive', 'good'], ['food', 'food quality', 'negative', 'overpriced']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["for the amount of food we got the prices should have been lower ."], "output": "[['food', 'food prices', 'negative', 'NULL'], ['food', '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": ["my favortie pizza joint in seattle"], "output": "[['pizza joint', 'restaurant general', 'positive', 'favortie']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["\u2013 this is my ` ` must bring out of town guests to ' ' restaurant and they always enjoy and rave about it ."], "output": "[['restaurant', 'restaurant general', 'positive', 'enjoy'], ['restaurant', 'restaurant general', 'positive', 'rave']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the pizza is delicious and the salads are fantastic ."], "output": "[['pizza', 'food quality', 'positive', 'delicious'], ['salads', 'food quality', 'positive', 'fantastic']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i ' ve always found the wait staff and , if you sit at the bar , the cooks very friendly ."], "output": "[['wait staff', 'service general', 'positive', 'friendly'], ['cooks', '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 also really enjoy the simplicity of the decor and intimate feeling of a small restaurant ."], "output": "[['decor', 'ambience general', 'positive', 'enjoy'], ['decor', 'ambience general', 'positive', 'simplicity'], ['feeling', 'ambience general', 'positive', 'intimate']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["\u2013 my husband and i love eating at mioposto cafe ."], "output": "[['mioposto cafe', 'restaurant general', 'positive', 'love']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["we ' re ca n ' t say enough about their delicious gourmet pizza \u2019 s !"], "output": "[['delicious', 'food quality', 'positive', 'pizza \u2019 s']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["you won \u2019 t be disappointed by their menu ."], "output": "[['menu', 'food style_options', 'positive', '\u2019 t be 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 pizza ' s are thin crust and the menu offers very creative combinations and toppings ."], "output": "[[\"pizza ' s\", 'food style_options', 'positive', 'thin'], ['menu', 'food style_options', 'positive', 'creative']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["try the pizza ensalata !"], "output": "[['pizza ensalata', 'food quality', 'positive', 'try']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the pizza ' s are not huge and the crust is thin \u2026 keep that in mind when you \u2019 re ordering ."], "output": "[[\"pizza ' s\", 'food style_options', 'positive', 'not huge'], ['crust', 'food style_options', '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": ["the food is sinful ."], "output": "[['food', 'food quality', 'positive', 'sinful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the staff was really friendly ."], "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": ["the atmosphere was great ."], "output": "[['atmosphere', 'ambience general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the specialty here is decadent pancakes , but i ' ve been back now four times , and i ' ve been wowed every time ."], "output": "[['pancakes', 'food quality', 'positive', 'decadent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["nothing on the menu is less than amazing ."], "output": "[['menu', '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": ["good eats ."], "output": "[['eats', 'food quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i have been to this place , folks and it is bad ."], "output": "[['place', 'restaurant general', 'negative', 'bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["maybe it is good for that one night once in a blue moon when the chefs decide to use fish that ' s half - way decent ."], "output": "[['fish', 'food quality', 'negative', 'decent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i have been here , spent tons of money on a chef special dinner and it was a major dissappointment ."], "output": "[['chef special dinner', 'food quality', 'negative', 'dissappointment'], ['chef special dinner', 'food prices', 'negative', 'dissappointment']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["\u2013 the atmosphere is great for any special occasion you might want to celebrate ."], "output": "[['atmosphere', 'ambience general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the best dish are the honwy walnut prawns - just outstanding ."], "output": "[['honwy walnut prawns', 'food quality', 'positive', 'outstanding'], ['honwy walnut prawns', '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": ["fancy pieces of exotic fish on a $ 100 dollar plate and not one was eatable ."], "output": "[['exotic fish', 'food quality', 'negative', 'NULL'], ['exotic fish', 'food style_options', 'negative', 'fancy'], ['plate', 'food prices', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the service is really attentive and charming ."], "output": "[['service', 'service general', 'positive', 'attentive'], ['service', 'service general', 'positive', 'charming']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the service was excellent , the coffee was good even by starbucks standards and the food was outstanding ."], "output": "[['service', 'service general', 'positive', 'excellent'], ['coffee', 'drinks quality', 'positive', 'good'], ['food', 'food quality', 'positive', 'outstanding']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["\u2013 i recently had the pleasure of dining as this delightful restaurant on 2nd street and wow what a great evening we had ."], "output": "[['restaurant', 'restaurant general', 'positive', 'delightful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the food is fantastic , authentic , delicious and very , very affordable ."], "output": "[['food', 'food quality', 'positive', 'fantastic'], ['food', 'food quality', 'positive', 'authentic'], ['food', 'food quality', 'positive', 'delicious'], ['food', 'food prices', 'positive', 'affordable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the decor was beautiful and unique ."], "output": "[['decor', 'ambience general', 'positive', 'beautiful'], ['decor', 'ambience 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": ["there was a really nice vibe about the place . . . good music , atmosphere and happy looking people ."], "output": "[['music', 'ambience general', 'positive', 'good'], ['atmosphere', 'ambience general', 'positive', 'good'], ['vibe', 'ambience general', 'positive', 'nice'], ['people', 'restaurant miscellaneous', '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": ["our server was very professional and friendly ."], "output": "[['server', 'service general', 'positive', 'professional'], ['server', 'service general', 'positive', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["to the owners of open sesame . . . bravo . . . i ca n ' t wait to come back to dine at your restaurant !"], "output": "[['open sesame', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it ' s a tiny place so if you get there before 8pm on a weekend ( thurs ? sun ) you will find it easier to get a table or a seat at the sushi bar ."], "output": "[['place', 'restaurant miscellaneous', 'neutral', 'tiny']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["everything , and i mean everything on the menu is delectable ."], "output": "[['menu', 'food quality', 'positive', 'delectable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the waiters are very experienced and helpful with pairing your drink choice to your food tastes or vice versa ."], "output": "[['waiters', 'service general', 'positive', 'experienced'], ['waiters', 'service general', 'positive', 'helpful']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the sushi is as fresh as it comes ? you ' d think ocean was in their backyard , no joke !"], "output": "[['sushi', 'food quality', 'positive', 'fresh']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["if you ' re interested in good tasting ( without the fish taste or smell ) , large portions and creative sushi dishes this is your place . . ."], "output": "[['portions', 'food style_options', 'positive', 'large'], ['sushi dishes', 'food style_options', 'positive', 'creative'], ['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": ["big thick pepperoni"], "output": "[['pepperoni', 'food style_options', 'positive', 'big'], ['pepperoni', 'food style_options', 'positive', 'thick']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["\u2013 the pepperoni ' s cut real thick - - yum ."], "output": "[[\"pepperoni ' s\", 'food style_options', 'positive', 'thick'], [\"pepperoni ' s\", 'food style_options', 'positive', 'yum']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the pizza itself is not exactly the best i ' ve had ever , but still pretty good ."], "output": "[['pizza', 'food quality', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["food was good and appetizing ."], "output": "[['food', 'food quality', 'positive', 'good'], ['food', 'food quality', 'positive', 'appetizing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["portions was just enough for me , but may not be for a big eater ."], "output": "[['portions', 'food style_options', 'neutral', 'enough']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["fair menu selection ."], "output": "[['menu selection', 'food style_options', '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": ["the appetizer was interesting , but the creme brulee was very savory and delicious ."], "output": "[['appetizer', 'food quality', 'positive', 'interesting'], ['creme brulee', 'food quality', 'positive', 'savory'], ['creme brulee', '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": ["indoor ambience was modern ."], "output": "[['indoor ambience', 'ambience general', 'positive', 'modern']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["if it ' s nice outside , request for a table in the balcony ."], "output": "[['balcony', 'ambience general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it ' s a great place to people watch ."], "output": "[['place', 'restaurant miscellaneous', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["late night dinning with exeptional food ."], "output": "[['food', 'food quality', 'positive', 'exeptional']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["we were seated right away , the table was private and nice ."], "output": "[['table', 'ambience general', 'positive', 'private'], ['table', 'ambience general', 'positive', 'nice'], ['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 service was exceptional - sometime there was a feeling that we were served by the army of friendly waiters ."], "output": "[['service', 'service general', 'positive', 'exceptional'], ['waiters', 'service general', 'positive', 'friendly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the food was very good , filet mignon was probably the best i ' ve ever try ."], "output": "[['food', 'food quality', 'positive', 'good'], ['filet mignon', 'food quality', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the portions are big though , so do not order too much ."], "output": "[['portions', 'food style_options', 'neutral', '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": ["groovy music made the dinner casual ."], "output": "[['music', 'ambience general', 'positive', 'casual']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i have a but here - there was a bathroom attendant in the restroom which was odd ."], "output": "[['restroom', 'restaurant miscellaneous', 'negative', 'odd']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the bathroom itself is very small with two toilets and only one sink , the girl was staying totally on the way hanging out paper towels from the dispenser ."], "output": "[['bathroom', 'restaurant miscellaneous', '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": ["\u2013 mercedes restaurant is so tasty , the service is undeniably awesome !"], "output": "[['service', 'service general', 'positive', 'awesome'], ['NULL', 'food quality', 'positive', 'tasty']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the catering is out of this world , and raouls chicken vegetable soup rocks my world ! ! !"], "output": "[['raouls chicken vegetable soup', 'food quality', 'positive', 'rocks'], ['catering', 'food quality', 'positive', 'out of this world']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["drinks are suberb , and i feel like i am in a third world country when i walk in the door ."], "output": "[['drinks', 'drinks quality', 'positive', 'suberb'], ['NULL', 'ambience general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the presentation of snooze is excellent and it is one of those places that you feel more sophisticated just for being there ; but peel back the layers and you have an overpriced ihop with a high brow menu ."], "output": "[['snooze', 'ambience general', 'negative', 'excellent'], ['snooze', 'restaurant prices', 'negative', 'overpriced'], ['menu', 'food style_options', 'negative', 'high brow']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD 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 start off , approximately 8 - 10 oz of orange juice will cost you $ 3 ."], "output": "[['orange juice', 'drinks prices', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["they serve it in a tall , skinny hour - glass shaped glass to disguise the fact that you a getting a small juice at the price of a half gallon in a supermarket ."], "output": "[['juice', 'drinks style_options', 'negative', 'small'], ['juice', 'drinks prices', 'negative', 'small']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i should have just asked for the check when i saw that ; but their menu was so unique that i continued ."], "output": "[['menu', 'food style_options', 'positive', 'unique']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the pancakes were certainly inventive but $ 8 . 50 for 3 - 6 ' ' pancakes ( one of them was more like 5 ' ' ) in the pancake flight ( sample of 3 different pancakes ) is well over - priced ."], "output": "[['pancakes', 'food style_options', 'positive', 'inventive'], ['pancakes', 'food prices', 'negative', 'over - priced']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the pancakes should be larger ( at least 8 ' ' ) to justify the expense even with the unique offerings ."], "output": "[['pancakes', 'food style_options', 'negative', 'NULL'], ['pancakes', 'food prices', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["on my meal i had to send back my eggs for a simple request of breaking the yokes before cooking , and would have had to send them back again if i had n ' t rejected the meal all together ."], "output": "[['eggs', 'food quality', 'negative', 'NULL'], ['meal', 'food quality', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i rejected it because in the process of attempting to fix the eggs they broke something else in the dish and i was too frustrated to continue ."], "output": "[['dish', 'food quality', '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": ["in the end our check came to $ 27 for 4 small pancakes , a breakfast burrito , an orange juice and an iced tea ( i had water ) ."], "output": "[['pancakes', 'food style_options', 'negative', 'small'], ['pancakes', 'food prices', 'negative', 'small'], ['breakfast burrito', 'food prices', 'negative', 'small'], ['orange juice', 'drinks prices', 'negative', 'small'], ['iced tea', 'drinks prices', '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": ["much more than just a great view !"], "output": "[['view', 'location general', 'positive', 'great'], ['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": ["\u2013 i am exceedingly pleased to report that my dinner at ray ' s boathouse last friday completely exceeded my expectations ."], "output": "[[\"ray ' s boathouse\", 'restaurant general', 'positive', 'pleased']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["ray ' s is something of a seattle institution , but given its gorgeous sound views , i had suspected that the accolades were more due to the scenery than to the food and service ."], "output": "[['sound views', 'location general', 'positive', 'gorgeous']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["imagine my happy surprise upon finding that the views are only the third - best thing about ray ' s !"], "output": "[['views', 'location general', 'positive', 'third - best'], [\"ray ' s\", 'restaurant general', 'positive', 'happy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["to start things off , our lovely server brooke was quickly on hand to take my drink order ."], "output": "[['brooke', 'service general', 'positive', 'lovely'], ['brooke', 'service general', 'positive', 'quickly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["my party of two was feeling particularly ambitious , and we splurged on the shilshole sampler . . . a beautiful assortment of enormous white gulf prawns , smoked albacore tuna , ray ' s fantastic manila clams seasoned with dill , scallops in a tasty soy dressing , and a tiny pile of dungeness crab atop a sublime butter sauce ."], "output": "[['white gulf prawns', 'food style_options', 'positive', 'enormous'], ['manila clams', 'food quality', 'positive', 'fantastic'], ['soy dressing', 'food quality', 'positive', 'tasty'], ['butter sauce', 'food quality', 'positive', 'sublime']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD 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 my entr & eacute ; e , i completely enjoyed the seared alaskan sea scallops complemented by chard , artichoke hearts , fennel , and pecorino toscano ."], "output": "[['seared alaskan sea scallops', 'food quality', 'positive', 'enjoyed'], ['seared alaskan sea scallops', 'food style_options', 'positive', 'enjoyed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the scallops are apparently cooked in a black olive butter which really makes them unique ( not to mention tasty ) ."], "output": "[['scallops', 'food quality', 'positive', 'tasty'], ['scallops', 'food style_options', 'positive', 'unique']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["my friend enjoyed the grilled alaskan king salmon with delectable creamed washington russet potatoes and crisp green beans ."], "output": "[['grilled alaskan king salmon', 'food quality', 'positive', 'enjoyed'], ['creamed washington russet potatoes', 'food quality', 'positive', 'delectable'], ['green beans', 'food quality', 'positive', 'crisp']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i had a taste of all three items on her plate , and they were superb ."], "output": "[['plate', 'food quality', 'positive', 'superb']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["our server continued to be attentive throughout the night , but i did remain puzzled by one issue : who thinks that ray ' s is an appropriate place to take young children for dinner ?"], "output": "[['server', 'service general', 'positive', 'attentive'], [\"ray ' s\", 'restaurant miscellaneous', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["while i could have done without the youth who shared the evening with us , our wonderful server and food made the experience a very positive one ."], "output": "[['server', 'service general', 'positive', 'wonderful'], ['food', 'food quality', 'positive', 'wonderful'], ['NULL', 'restaurant miscellaneous', 'negative', 'positive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["oh yeah . . . the view was good , too ."], "output": "[['view', 'location 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": ["yum !"], "output": "[['NULL', 'food quality', 'positive', 'yum']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["do n ' t leave the restaurant without it ."], "output": "[['NULL', 'food quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["no comparison"], "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": ["\u2013 i ca n ' t say enough about 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": ["snotty attitude"], "output": "[['NULL', 'service general', 'negative', 'snotty']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["\u2013 we were treated very rudely here one time for breakfast ."], "output": "[['NULL', 'service general', 'negative', 'rudely']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["we never had to wait more than 5 minutes ."], "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": ["they are not greasy or anything ."], "output": "[['NULL', 'food quality', 'positive', 'not greasy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["overrated"], "output": "[['NULL', 'restaurant general', 'negative', 'overrated']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["\u2013 i was highly disappointed in the food at pagoda ."], "output": "[['food', 'food quality', 'negative', 'disappointed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i will not go back ."], "output": "[['NULL', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i will never return again ."], "output": "[['NULL', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it was absolutely amazing ."], "output": "[['NULL', 'restaurant general', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["amazing ."], "output": "[['NULL', 'restaurant general', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i can not wait to go back again this coming weekend !"], "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": ["mmm . . . good !"], "output": "[['NULL', 'restaurant general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["we ' re going back . : d"], "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": ["finally a meal that you will remember for a long time !"], "output": "[['meal', '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": ["very disappointing"], "output": "[['NULL', 'restaurant general', 'negative', 'disappointing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["\u2013 i took my parents here for their anniversary - very very disappointed ! ! !"], "output": "[['NULL', 'restaurant general', 'negative', 'disappointed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["nothing really came across as outstanding ."], "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": ["very disappointed ."], "output": "[['NULL', 'restaurant general', 'negative', 'disappointed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["we were then charged for their most expensive sake ( $ 20 + per serving ) when we in fact drank a sake of less than half that price ."], "output": "[['NULL', 'service general', 'negative', 'expensive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["you are bound to have a very charming time ."], "output": "[['NULL', 'restaurant general', 'positive', 'charming']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["not recommanded ! ! !"], "output": "[['NULL', 'restaurant general', 'negative', 'not recommanded']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive 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 worth going at all and spend your money there ! ! !"], "output": "[['NULL', 'restaurant general', 'negative', 'not worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["\u2013 pretty cheap for sit down mexican and downtown ."], "output": "[['NULL', 'restaurant prices', 'positive', 'cheap'], ['NULL', 'location general', 'positive', 'cheap']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["if you ' re in the area you should n ' t be disappointed ."], "output": "[['NULL', 'restaurant general', 'positive', \"n ' t be 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": ["ok . . . . \u2013 maybe i went in on someone ' s bad day . . . ."], "output": "[['NULL', 'restaurant general', 'negative', 'bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["took forever to get our order taken , water refills were too much to ask for and the only time she was fast was when we asked for our bill when we could get her attention ."], "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 know if i ' ll be back . . . ."], "output": "[['NULL', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["everything you want and more , very fresh ."], "output": "[['NULL', 'food quality', 'positive', 'fresh'], ['NULL', 'food style_options', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["its worth the wait , especially since they ' ll give you a call when the table is ready ."], "output": "[['NULL', 'restaurant general', 'positive', 'worth'], ['NULL', 'service 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 went there with some friends one night to play bingo and watch the sox game and it was a blast !"], "output": "[['NULL', 'restaurant general', 'positive', 'blast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["every time ` ` 0 - sixtynine ' ' is called the bartender buys everyone drinks !"], "output": "[['bartender', '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": ["been there lots since and its always 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": ["i found a new home on second avenue ! ! ! ! ! ! ! ! ! ! ! !"], "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": ["just go there and see for yourself ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["you need to watch your game , they will have it on for you ."], "output": "[['NULL', 'service general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["kudos to these guys ."], "output": "[['NULL', 'restaurant general', 'positive', 'kudos']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i found a new home and just moved with a long lease ."], "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": ["unless you are just stopping in for a few drinks i would n ' t recommend going here ."], "output": "[['drinks', 'drinks quality', 'positive', 'NULL'], ['NULL', 'restaurant general', 'negative', \"n ' t recommend\"]]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["you are likely to be disappointed ."], "output": "[['NULL', 'restaurant general', 'negative', 'disappointed']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it was romantic - and even nice even with my sister , reminded me of italy , and had artwork and music that kept up the feeling of being in a mediterrean villa ."], "output": "[['NULL', 'ambience general', 'positive', 'romantic'], ['artwork', 'ambience general', 'positive', 'NULL'], ['music', '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": ["i recommend it for a night when you want to splurge ! ( it was a bit expensive )"], "output": "[['NULL', 'restaurant general', 'positive', 'recommend'], ['NULL', 'restaurant prices', 'negative', 'expensive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the best thing is , the prices are also quite reasonable ."], "output": "[['NULL', 'restaurant prices', 'positive', 'reasonable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["hidden little jem"], "output": "[['NULL', 'restaurant general', 'positive', 'jem']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["\u2013 tucked away over by the beverly center ."], "output": "[['NULL', 'location general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["you routinely see indian families and friends dining there , which is always a good sign ."], "output": "[['NULL', 'restaurant miscellaneous', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["normally , places ask how hot you want it , but they did n ' t ."], "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 should have thought to bring it up but never expected the food to be that mild ."], "output": "[['food', 'food quality', 'positive', 'mild']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD 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 they packaged everything nicely so it did n ' t spill ."], "output": "[['NULL', 'service general', 'positive', 'nicely']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["awesome find"], "output": "[['NULL', 'restaurant general', 'positive', 'awesome']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["you can order to go if you have to get back to the office too !"], "output": "[['NULL', 'service general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["lebanese food ! yum !"], "output": "[['lebanese food', 'food quality', 'positive', 'yum']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["\u2013 i ' ve been to open sesame only once , but i ' m still reeling from the experience ! !"], "output": "[['open sesame', '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": ["what a tastly , flaky treat !"], "output": "[['NULL', 'food quality', 'positive', 'tastly'], ['NULL', 'food quality', 'positive', 'flaky']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD 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 have been several occasions when we ' ve just not gotten some side dishes we ' ve ordered ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["we waited over 30 minutes for our drinks and over 1 1 / 2 hours for our food ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["however , one sunday afternoon my husband and i did go ( although with my loud protests ) and were pleasantly surprised ."], "output": "[['NULL', 'restaurant general', 'positive', 'pleasantly']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive 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 like dining at a completely different restaurant ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["we have since returned and also had a great experience , sampling more small plates and a variety of the beer ( cold and good ) ."], "output": "[['beer', 'drinks quality', 'positive', '('], ['beer', 'drinks quality', 'positive', 'and'], ['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": ["we did have the same waiter the second time , so maybe the service is spotty and our luck is good ."], "output": "[['waiter', 'service general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["sunday afternoons there is a band playing and it is lots of fun ."], "output": "[['band', 'ambience general', 'negative', '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": ["nice job !"], "output": "[['NULL', 'restaurant general', 'positive', 'nice']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this is sad for what once was one of the best places you could ever eat ."], "output": "[['NULL', 'restaurant 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 hope one day scooner or later returns to what it once was ."], "output": "[['scooner or later', '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": ["untill this happens , my advice is to stay away ."], "output": "[['NULL', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["old reliable"], "output": "[['NULL', 'restaurant general', 'positive', 'reliable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["\u2013 after 12 years in seattle ray ' s rates as the place we always go back to ."], "output": "[[\"ray ' s\", 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i liked it ."], "output": "[['NULL', 'restaurant general', 'positive', 'liked']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it was so much though that i could barely finish but i did , since it was delicious ."], "output": "[['NULL', 'food style_options', 'neutral', 'NULL'], ['NULL', 'food quality', 'positive', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["wow ! ! ! ! ! ! ! !"], "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": ["\u2013 it cant get any better ! ! ! ! !"], "output": "[['NULL', 'restaurant general', 'positive', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["absolutely fabulous ! ! !"], "output": "[['NULL', 'restaurant general', 'positive', 'fabulous']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["two thumbs up !"], "output": "[['NULL', 'food quality', '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": ["this is right up there with places in tokyo as far as the freshness is concerned ."], "output": "[['NULL', 'food quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["splendid"], "output": "[['NULL', 'restaurant general', 'positive', 'splendid']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["perfect on a cold day ."], "output": "[['NULL', '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": ["$ 6 with tip ."], "output": "[['NULL', 'restaurant prices', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["perfection ."], "output": "[['NULL', 'restaurant general', 'positive', 'perfection']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["on weekends , you might have to wait for couple hours ."], "output": "[['NULL', 'service general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["however , they do take your cellphone numbers so that you can go hang out somewhere else till they call you up on your cellphone ."], "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": ["that ' s a huge compliment , especially in the fickled restaurant business , . . . enough already !"], "output": "[['NULL', 'restaurant general', 'positive', 'compliment']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i guarantee you wo n ' t be disappointed , there ' s also valet parking ."], "output": "[['NULL', 'restaurant general', 'positive', \"n ' t be disappointed\"], ['NULL', 'restaurant miscellaneous', 'positive', \"n ' t be 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": ["a cozy spot for 2"], "output": "[['spot', '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": ["\u2013 i ca n ' t believe murphy ' s has been around for over 25 years , amazing ."], "output": "[[\"murphy ' s\", 'restaurant miscellaneous', '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": ["addicting !"], "output": "[['NULL', 'restaurant general', 'positive', 'addicting']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i went there with a friend from out of town . . . and we were both very 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": ["the price was right too ."], "output": "[['NULL', 'restaurant prices', 'positive', 'right']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i ' d go back there in a heartbeat ."], "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": ["well i guess it ' s hard to be seated when one is invisible to the staff ."], "output": "[['staff', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["once seated it took about 30 minutes to finally get the meal ."], "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 prior reviews said kid friendly . . . give me a break with two young children that is light years ."], "output": "[['NULL', 'restaurant miscellaneous', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it was decent but nothing exceptional ."], "output": "[['NULL', 'food quality', 'positive', 'decent'], ['NULL', 'food quality', 'neutral', 'nothing exceptional']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the place is the next best thing to my moms cooking ."], "output": "[['NULL', 'food quality', 'positive', 'best']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["way over - rated ! ! ! !"], "output": "[['NULL', 'restaurant general', 'negative', 'over - rated']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["10 !"], "output": "[['NULL', 'restaurant general', 'positive', '10']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["cut to the chase - this is amazing !"], "output": "[['NULL', 'restaurant general', 'positive', 'amazing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it ' s unpretentious and underground ."], "output": "[['NULL', 'ambience general', 'positive', 'unpretentious']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive 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 fresh , welcoming , delicious , and relaxing ."], "output": "[['NULL', 'food quality', 'positive', 'fresh'], ['NULL', 'food quality', 'positive', 'delicious'], ['NULL', 'ambience general', 'positive', 'welcoming'], ['NULL', 'ambience general', 'positive', 'relaxing']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i went here on a recommendation and will surely return time and time again ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["what a find !"], "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": ["well worth it"], "output": "[['NULL', 'restaurant general', 'positive', 'worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["good for late night dining ( last minute planning ) without reservations ."], "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": ["love it every time"], "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": ["never had one single problem there ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["seafood plus"], "output": "[['seafood', 'food quality', 'positive', 'plus']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["\u2013 this was great dining experience ."], "output": "[['NULL', 'restaurant general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["if you ' re going to see danny gans or just staying at the mirage , do n ' t miss this one ."], "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": ["completely over rated !"], "output": "[['NULL', 'restaurant general', 'negative', 'over rated']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["even then , the order was not correct and we were still waiting for a couple items ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["we had a very hard time getting the waitress ' attention and finally had to get up and go inside to speak to a manager ."], "output": "[['waitress', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["as it turns out the owner was seated right next to us and when he came over to check on our problems was very dismissive and offered a token 20 % discount on our bill ."], "output": "[['owner', 'service general', 'negative', 'dismissive']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD 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 , he only took the discount off the food and not the drinks ."], "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": ["it was clear he didn \u2019 t really care ."], "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": ["\u2013 save yourself the waste of time & do not visit ."], "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": ["after sitting there with my empty glass for over 20 minutes i left ."], "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 went home & looked them up online again where i discovered there is a link for a give away that does n ' t work so emailed the restaurant about the non existent service & deceptive link ."], "output": "[['restaurant', 'restaurant miscellaneous', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i never heard back from anyone more than a month ago ."], "output": "[['NULL', 'restaurant miscellaneous', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["after sitting at the bar for over 20 minutes the bar keep had made only 2 drinks & kept telling us she ' d be right with us ."], "output": "[['bar keep', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["as of writing this i just tried their give away a link again & it still does n ' t work ."], "output": "[['NULL', 'restaurant miscellaneous', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["always a winner ."], "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": ["she does n ' t make you feel welcome and treats you like an annoyance ."], "output": "[['NULL', 'service general', 'negative', 'annoyance']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["but she is very friendly with certain people , making it even more annoying ."], "output": "[['NULL', 'service 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": ["management should really take notice and train their waitstaff and teach them some proper manners ."], "output": "[['management', 'service general', 'negative', 'NULL'], ['waitstaff', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["they have been featured on the food network and they deserve 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": ["does n ' t get any better than that ."], "output": "[['NULL', 'restaurant general', 'positive', 'better']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["you can easily hear him though so it was a pleasant sound and not overbearing ."], "output": "[['NULL', 'ambience general', 'positive', 'pleasant']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["not too fine thought that you feel uncomfortable and have to dress up ."], "output": "[['NULL', '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": ["first off , the food came fast and all together : ) i like that . . . i hate the pretentiousness of things coming in one after the other ."], "output": "[['NULL', 'service general', 'positive', 'fast']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["yummy ."], "output": "[['NULL', 'food quality', 'positive', 'yummy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["not chewy at all ."], "output": "[['NULL', 'food quality', 'positive', 'not chewy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD 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 desert we had the mango ginger creme brulee . . . oh la la yummy ! ! !"], "output": "[['mango ginger creme brulee', 'food quality', 'positive', 'yummy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["melt in your mouth ."], "output": "[['NULL', 'food quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["we are for sure coming back to this restaurant ."], "output": "[['restaurant', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it is sad there is not many people who frequent eating at places like these that look pricey because they are at the hotel . . . but they are definitely one you dont want to miss , esp if your in downtown san jose ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["we easily spent more than $ 40 per person ( not including alcohol ) and were still hungry ."], "output": "[['NULL', 'restaurant prices', 'negative', 'NULL'], ['NULL', 'food style_options', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i ' m astonished that this restaurant is categorized as $ $ $ rather than $ $ $ $ ."], "output": "[['restaurant', 'restaurant prices', 'negative', 'astonished']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD 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 put out name down and although there were open tables we were told that it ' d be a 30 minute wait ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["we went back to the restaurant and low and behold , we were seated at one of the tables that was available 30 minutes ago ! !"], "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": ["none that i can think of ."], "output": "[['NULL', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["we put in our order and although we ordered 4 appetizers , the food did n ' t arrive until 45 minutes later . . . with our main course ."], "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": ["um so now what are appetizers for ? ? ?"], "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": ["oh i forgot to mention that they do n ' t have bread service ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["my wife also ordered a teapot of hot water ( she had a sore throat ) and i guess that since it was only water , it was n ' t a priority for them to actually bring 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": ["in other words , if they are n ' t making $ $ off of you then you do n ' t rate high on their ' service scale ' ."], "output": "[['service', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["its great if you spent the day there and did n ' t want to drive to eat ."], "output": "[['NULL', 'location general', 'positive', 'great']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["parking is reasonably good , they have their own lot and you can park in the park nearby ."], "output": "[['NULL', 'restaurant miscellaneous', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["always good ."], "output": "[['NULL', 'restaurant general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["6pm on a sat before a broadway play and we were quickly seated and served ."], "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": ["as part of a small party of four , our food was dropped off without comment ;"], "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": ["any further needs we may have had could not have been met since no one stopped by the table ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["when we finally were able to flag someone down , it was someone entirely different from the person who had dropped off the food , who was also not the same person who had taken our order ."], "output": "[['NULL', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["a brief conversation with the manager at the end of the meal was the greatest disappointment - - to say we had been ` ` blown off ' ' would be an understatement ."], "output": "[['manager', 'service general', 'negative', 'disappointment']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the manager continually interrupted with ` ` is there anything else i can do for you ? ` ` , a strange comment because she had hardly listened , let alone responded to our expression of disappointment at our experience ."], "output": "[['manager', 'service general', 'negative', 'disappointment']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["she promised to speak to the waitress who had flown off in a rage , but we could hardly take her promise seriously , seeing as she had n ' t bothered to get the waitresses name ."], "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": ["in short , schooner or later could n ' t have cared less about our being at their establishment ."], "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": ["you are with a hot date and he / she has an urge for sushi . . . then this might be the place ."], "output": "[['sushi', '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": ["and they give good quantity for the price ."], "output": "[['NULL', 'food style_options', 'positive', 'good'], ['NULL', '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": ["we were only in seattle for one night and i ' m so glad we picked rays for dinner !"], "output": "[['rays', 'restaurant general', 'positive', 'glad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["this is the case at this gem ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["you ca n ' t go wrong here ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["seriously , you ca n ' t go wrong , if it is unpretentious local fun you seek ."], "output": "[['NULL', 'ambience general', 'positive', 'fun']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["my mouth felt very dry afterwards and i had that signature ? msg ? taste lingering in my throat after i left the restaurant ."], "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": ["they came in their own nifty take out box and with some homemade frosting ; very light and not - too - sweet ."], "output": "[['NULL', 'food quality', 'positive', 'light'], ['NULL', 'food quality', 'positive', 'not - too - sweet']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the dinner only took us about an hour and the prices were alright for the strip , almost $ 50 / pp after tax and tip ( about average ) ."], "output": "[['NULL', 'restaurant prices', 'neutral', 'alright'], ['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": ["just remember to dress a little urban - chic so you don ? t look too far out of place ."], "output": "[['NULL', 'restaurant miscellaneous', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["very good !"], "output": "[['NULL', 'restaurant general', 'positive', 'good']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["overpriced"], "output": "[['NULL', 'restaurant prices', 'negative', 'overpriced']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["waited 35 minutes for a table for 8 which was ok for such a big crowd ."], "output": "[['NULL', 'service general', 'neutral', 'ok']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["not sure if i would go back ."], "output": "[['NULL', 'restaurant general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["in fact , many want to return a second time during their 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": ["they are n ' t the most talkative , but everytime i ' ve been there they have been very busy , which probably accounts for the lack of conversation ."], "output": "[['NULL', 'service general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["it ' s just the right size for the menu ."], "output": "[['NULL', 'restaurant miscellaneous', 'positive', 'right']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["excellent"], "output": "[['NULL', 'restaurant general', 'positive', 'excellent']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["you never feel icky and stuffed after you eat there ."], "output": "[['NULL', 'food quality', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the pizza ' s are light and scrumptious ."], "output": "[[\"pizza ' s\", 'food quality', 'positive', 'light'], [\"pizza ' s\", 'food quality', 'positive', 'scrumptious']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["worth the wait"], "output": "[['NULL', 'restaurant general', 'positive', 'worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["\u2013 had to wait thirty minutes to get in the door on a tuesday morning , but it was so worth it ."], "output": "[['NULL', 'restaurant miscellaneous', 'negative', 'NULL'], ['NULL', 'restaurant general', 'positive', 'worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["go with some friends , wait the half hour or so with a cup of joe , and enjoy more than your average breakfast ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL'], ['breakfast', 'food quality', 'positive', 'enjoy']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i do n ' t know why anyone would want to write a great review about 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": ["donot go !"], "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": ["delicious"], "output": "[['NULL', 'food quality', 'positive', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["we waited for an hour to be seated ."], "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": ["it was worth the wait ."], "output": "[['NULL', 'restaurant general', 'positive', 'worth']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["plan on waiting 30 - 70 minutes ."], "output": "[['NULL', 'service general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["will definitely be back ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["delicious . . . !"], "output": "[['NULL', 'food quality', 'positive', 'delicious']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["delectable"], "output": "[['NULL', 'food quality', 'positive', 'delectable']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["once you ' re inside , the real experience begins ."], "output": "[['NULL', 'restaurant general', 'positive', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i probably would n ' t go back though ' cuz i do n ' t know if it ' s worth it ."], "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": ["maybe i ' ll go back once more many years from now when i ' ve forgotten i went there already ."], "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": ["sit in the balcony"], "output": "[['balcony', 'ambience general', 'neutral', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["\u2013 not bad ."], "output": "[['NULL', 'restaurant general', 'neutral', 'not bad']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["although the service could be improved considering the money you put in ."], "output": "[['NULL', 'restaurant prices', 'negative', 'NULL'], ['service', 'service general', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["our drinks kept coming but our server came by a couple times ."], "output": "[['NULL', 'service general', 'positive', 'NULL'], ['server', '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": ["should check - up on us more frequently , do n ' t you think ?"], "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 most pleasant surprise was the check that did not exceed my expectations as it always happens in most of the places ."], "output": "[['NULL', 'restaurant prices', 'positive', 'pleasant']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["i felt ackward and next time went to the casino bathroom ."], "output": "[['NULL', 'restaurant miscellaneous', 'negative', 'ackward']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD 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 rocks ! !"], "output": "[['place', 'restaurant general', 'positive', 'rocks']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the chips and salsa are so yummy , and the prices are fabulous ."], "output": "[['chips', 'food quality', 'positive', 'yummy'], ['salsa', 'food quality', 'positive', 'yummy'], ['NULL', 'restaurant prices', 'positive', 'fabulous']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["the atmosphere is aspiring , and the decor is festive and amazing . ."], "output": "[['atmosphere', 'ambience general', 'positive', 'aspiring'], ['decor', 'ambience general', 'positive', 'festive'], ['decor', 'ambience 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": ["insultingly overpriced"], "output": "[['NULL', 'restaurant prices', 'negative', 'overpriced']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["- mediocre service / quality"], "output": "[['service', 'service general', 'neutral', 'mediocre']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["to their credit they removed the dish from the check ; but no manager stopped by to ask what the problem was ."], "output": "[['manager', 'service general', 'negative', 'NULL'], ['NULL', 'service general', 'positive', 'to their credit']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["two rascally kids were seated near us for the first part of our dinner . . . they were replaced by a delightful preteen who pretended to gag every time seafood was mentioned at her table ."], "output": "[['NULL', 'restaurant miscellaneous', 'negative', 'NULL']]", "situation": "none", "label": "", "extra": "", "instruction": "Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: \"Null\" means that there is no occurrence in the sentence. Example:  Sentence: \"Also it's not a true SSD drive in there but eMMC, which makes a difference. \"  Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '  "}
+{"task_type": "generation", "dataset": "acos", "input": ["all considered , i have to say that ray ' s boathouse is deserving of its title as a seattle institution ."], "output": "[[\"ray ' s boathouse\", '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']] '  "}