task_type stringclasses 1 value | dataset stringclasses 1 value | input list | output stringlengths 43 597 | situation stringclasses 1 value | label stringclasses 1 value | extra stringclasses 1 value | instruction stringclasses 1 value |
|---|---|---|---|---|---|---|---|
generation | acos | [
"the fish was not fresh and the rice tasted old and stale ."
] | [['fish', 'food quality', 'negative', 'not fresh'], ['rice', 'food quality', 'negative', 'old'], ['rice', 'food quality', 'negative', 'stale']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"quite frankly , this is some of the worst sushi i have ever tried ."
] | [['sushi', 'food quality', 'negative', 'worst']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"will never be back ."
] | [['NULL', 'restaurant general', 'negative', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"honestly the worst sushi my husband and i had in our entire lives ."
] | [['sushi', 'food quality', 'negative', 'worst']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"not sure why this restaurant would be rated that highly ."
] | [['restaurant', 'restaurant general', 'negative', 'highly']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the all - u - can - eat sushi is definitely in very poor quality ."
] | [['all - u - can - eat sushi', 'food quality', 'negative', 'poor quality']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"wont come back again for sure !"
] | [['NULL', 'restaurant general', 'negative', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the only things u could really taste are the very salty soy sauce ( even its low sodium ) , the vinegar - soaked rice , and the scallion on top of the fish ."
] | [['soy sauce', 'food quality', 'negative', 'salty'], ['rice', 'food quality', 'negative', 'vinegar - soaked']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the waitstaffs are nice though ."
] | [['waitstaffs', 'service general', 'positive', 'nice']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"i have been to roth ' s twice and both times were very disappointing ."
] | [["roth ' s", 'restaurant general', 'negative', 'disappointing .']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"both times i was extremely dissappointed by the service , which was boarderline rude ."
] | [['service', 'service general', 'negative', 'dissappointed'], ['service', 'service general', 'negative', 'rude']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"they wouldnt even let me finish my glass of wine before offering another ."
] | [['NULL', 'service general', 'negative', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"much of the time it seems like they do not care about you ."
] | [['NULL', 'service general', 'negative', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the dinner was ok , nothing i would have again ."
] | [['dinner', 'food quality', 'negative', 'ok']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"this was a great surprise ."
] | [['NULL', 'restaurant general', 'positive', 'great']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"i look forward to eating here again"
] | [['NULL', 'restaurant general', 'positive', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"planet thai is great !"
] | [['planet thai', 'restaurant general', 'positive', 'great']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"we love the food , drinks , and atmosphere !"
] | [['food', 'food quality', 'positive', 'love'], ['drinks', 'drinks quality', 'positive', 'love'], ['atmosphere', 'ambience general', 'positive', 'love']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the svc can be a bit rude at times , esp if you have big group , but overall the restaurant is a must !"
] | [['svc', 'service general', 'negative', 'rude'], ['restaurant', 'restaurant general', 'positive', 'must']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"try the pad thai , it ' s fabulous and their prices are so cheap !"
] | [['pad thai', 'food quality', 'positive', 'try'], ['pad thai', 'food quality', 'positive', 'fabulous'], ['pad thai', 'food quality', 'positive', 'cheap'], ['NULL', 'restaurant prices', 'positive', 'so cheap']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"just because it ' s cheap does not mean the portions are small or the food is nasty , it is great !"
] | [['portions', 'food style_options', 'positive', 'small'], ['food', 'food quality', 'positive', 'nasty'], ['NULL', 'restaurant prices', 'positive', 'great']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"they forgot a sandwich , did n ' t include plastic forks , and did n ' t include pita with the hummus platter ."
] | [['NULL', 'service general', 'negative', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"also , the sandwiches ( nearing $ 7 ) did n ' t come with anything like chips or a side ."
] | [['sandwiches', 'food style_options', 'positive', 'NULL'], ['sandwiches', 'food prices', 'positive', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"overall , not worth the money ."
] | [['NULL', 'restaurant general', 'negative', 'not worth'], ['NULL', 'restaurant prices', 'negative', 'not worth']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"eating in , the atmosphere saves it , but at your desk , it ' s a very disappointing experience ."
] | [['atmosphere', 'ambience general', 'positive', 'saves'], ['NULL', 'restaurant general', 'negative', 'disappointing']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"chennai garden is my favorite indian restaurant in the city ."
] | [['chennai garden', 'restaurant general', 'positive', 'favorite']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"they have authentic indian at amazing prices ."
] | [['indian', 'food quality', 'positive', 'authentic'], ['NULL', 'food prices', 'positive', 'amazing']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"this restaurant is vegetarian ; there are no meat dishes whatsoever ."
] | [['meat dishes', 'food style_options', 'negative', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the seats are uncomfortable if you are sitting against the wall on wooden benches ."
] | [['seats', 'ambience general', 'negative', 'uncomfortable']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"it ' s a rather cramped and busy restaurant and it closes early ."
] | [['restaurant', 'restaurant miscellaneous', 'negative', 'busy'], ['restaurant', 'ambience general', 'negative', 'cramped']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the food is tasty and portion sizes are appropriate ."
] | [['food', 'food quality', 'positive', 'tasty'], ['portion sizes', 'food style_options', 'positive', 'appropriate']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"this is a nice restaurant if you are looking for a good place to host an intimate dinner meeting with business associates ."
] | [['restaurant', 'restaurant miscellaneous', 'positive', 'nice']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"not a great place for family or general dining ."
] | [['place', 'restaurant miscellaneous', 'negative', 'not a great']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"food is excellent ."
] | [['food', 'food quality', 'positive', 'excellent']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"fish is so very fresh ."
] | [['fish', 'food quality', 'positive', 'fresh']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"waitstaff are very friendly ."
] | [['waitstaff', 'service general', 'positive', 'friendly']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"love yuka ."
] | [['yuka', 'restaurant general', 'positive', 'love']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"mermaid inn is an overall good restaurant with really good seafood ."
] | [['seafood', 'food quality', 'positive', 'good'], ['mermaid inn', 'restaurant general', 'positive', 'good']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the lobster sandwich is good and the spaghetti with scallops and shrimp is great ."
] | [['lobster sandwich', 'food quality', 'positive', 'good'], ['spaghetti with scallops and shrimp', 'food quality', 'positive', 'great']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the service is good and ambience is good for a date or group outing ."
] | [['service', 'service general', 'positive', 'good'], ['ambience', 'ambience general', 'positive', 'good']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the only fallback on this restaurant is the prices ."
] | [['restaurant', 'restaurant prices', 'negative', 'fallback']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"even though its good seafood , the prices are too high ."
] | [['seafood', 'food quality', 'positive', 'good'], ['NULL', 'restaurant prices', 'negative', 'too high']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the lobster sandwich is $ 24 and although it was good it was not nearly enough to warrant that price ."
] | [['lobster sandwich', 'food quality', 'positive', 'good'], ['lobster sandwich', 'food prices', 'negative', 'not nearly enough']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"we were very pleasantly surprised ."
] | [['NULL', 'restaurant general', 'positive', 'pleasantly surprised']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the food was delicious ( i had a halibut special , my husband had steak ) , and the service was top - notch ."
] | [['food', 'food quality', 'positive', 'delicious'], ['halibut special', 'food quality', 'positive', 'delicious'], ['steak', 'food quality', 'positive', 'delicious'], ['service', 'service general', 'positive', 'top - notch']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"when my dessert came , there was a candle in it - not because anyone asked for one - but because the waiter must have seen me opening my birthday card and gift , and said he knew it was a special occassion of some sort ."
] | [['waiter', 'service general', 'positive', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"truly the mark of an attentive waiter ."
] | [['waiter', 'service general', 'positive', 'attentive']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"i highly recommend the restaurant based on our experience last night ."
] | [['restaurant', 'restaurant general', 'positive', 'recommend']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"we ate at this thai place following the reviews but very unhappy with the foods ."
] | [['foods', 'food quality', 'negative', 'unhappy']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"we thought that this place is using too much of msg cooking in the foods ."
] | [['foods', 'food quality', 'negative', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"they do n ' t concern much of customer ' s health , just want to make money ."
] | [['NULL', 'restaurant miscellaneous', 'negative', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"please do n ' t fool us ."
] | [['NULL', 'restaurant miscellaneous', 'negative', 'fool']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"i recommend the jelly fish , drunken chicken and the soupy dumplings , certainly the stir fry blue crab ."
] | [['jelly fish', 'food quality', 'positive', 'recommend'], ['drunken chicken', 'food quality', 'positive', 'recommend'], ['soupy dumplings', 'food quality', 'positive', 'recommend'], ['stir fry blue crab', 'food quality', 'positive', 'recommend']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the food is so cheap and the waiters are nice ."
] | [['food', 'food prices', 'positive', 'cheap'], ['waiters', 'service general', 'positive', 'nice']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"of course , it is crowded but who cares ."
] | [['NULL', 'ambience general', 'neutral', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"authentic shanghai style and i can not recommend a better shanghai place in new york ."
] | [['NULL', 'restaurant miscellaneous', 'positive', 'authentic']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"have frequented ' ino for several years and the food remains excellent ."
] | [['food', 'food quality', 'positive', 'excellent']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"cheese plate is a varied delight and great bargain at $ 10 ."
] | [['cheese plate', 'food quality', 'positive', 'varied delight'], ['cheese plate', 'food style_options', 'positive', 'varied delight'], ['cheese plate', 'food prices', 'positive', 'great bargain']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the large selection of bruschettas , paninis , tramezzinis keep the palate from stagnating ."
] | [['bruschettas', 'food style_options', 'positive', 'large selection'], ['paninis', 'food style_options', 'positive', 'large selection'], ['tramezzinis', 'food style_options', 'positive', 'large selection']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"( the asparagus , truffle oil , parmesan bruschetta is a winner ! )"
] | [['asparagus', 'food quality', 'positive', 'winner'], ['truffle oil', 'food quality', 'positive', 'winner'], ['parmesan bruschetta', 'food quality', 'positive', 'winner']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"be sure to try the seasonal , and always delicious , specials ."
] | [['specials', 'food quality', 'positive', 'try'], ['specials', 'food quality', 'positive', 'seasonal'], ['specials', 'food quality', 'positive', 'delicious']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"definitely a neighborhood favorite ."
] | [['NULL', 'restaurant general', 'positive', 'favorite']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"i loved this place ! !"
] | [['place', 'restaurant general', 'positive', 'loved']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"i almost hesititate to write a review because the atmosphere was so great and i would hate for it too become to crowded ."
] | [['atmosphere', 'ambience general', 'positive', 'great']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"i like cafe noir dont get me wrong , it is jsut that the people who work there are evil and incompetent ! !"
] | [['people', 'service general', 'negative', 'evil'], ['people', 'service general', 'negative', 'incompetent'], ['cafe noir', 'restaurant general', 'positive', 'like']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the service was terrible , we had to wait for everything and ask several of different people for the same thing before we were allowed to be served ."
] | [['service', 'service general', 'negative', 'terrible']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the waitress , seems to be more concerned of looking good than actually waitressing ."
] | [['waitress', 'service general', 'negative', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"after dinner the manager grabbed my boyfriend , asked him : where are you from . . . maybe you dont know how things work in america . . . and in the end stormed away almost teareyed yelling that tips are the only thing they survive on ."
] | [['manager', 'service general', 'negative', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"we did tip , i guess the model / waitress just wanted more and complained to the manager ."
] | [['waitress', 'service general', 'negative', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"pizza here is consistently good ."
] | [['pizza', 'food quality', 'positive', 'good']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"salads are a delicious way to begin the meal ."
] | [['salads', 'food quality', 'positive', 'delicious']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"it is thick and slightly soggy ."
] | [['NULL', 'food quality', 'negative', 'thick'], ['NULL', 'food quality', 'negative', 'soggy']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"decor is charming ."
] | [['decor', 'ambience general', 'positive', 'charming']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"service is average ."
] | [['service', 'service general', 'neutral', 'average']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"what a great place ."
] | [['place', 'restaurant general', 'positive', 'great']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the ambience was so fun , and the prices were great , on top of the fact that the food was really tasty ."
] | [['ambience', 'ambience general', 'positive', 'fun'], ['food', 'food quality', 'positive', 'tasty'], ['NULL', 'restaurant prices', 'positive', 'great']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"i was n ' t thrilled to have to wait on line for thirty minutes , but i guess that ' s the price you pay for a popular place ."
] | [['NULL', 'service general', 'neutral', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"i would definitely recommend sea if you like thai cuisine !"
] | [['thai cuisine', 'food quality', 'positive', 'like']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"i was here a few weeks back and we had the worst customer service experience at a restaurant ever ."
] | [['customer service', 'service general', 'negative', 'worst']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"a gentleman , maybe the manager , came to our table , and without so much as a smile or greeting asked for our order ."
] | [['gentleman', 'service general', 'negative', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"while it is understandable that every place is indeed different , there was not a need to be uncourteous to customers and downright rude ."
] | [['NULL', 'service general', 'negative', 'uncourteous'], ['NULL', 'service general', 'negative', 'rude']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"never again !"
] | [['NULL', 'restaurant general', 'negative', 'never again']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"i absolutely loved this place ."
] | [['place', 'restaurant general', 'positive', 'loved']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"excellent atmosphere , delicious dishes good and friendly service ."
] | [['atmosphere', 'ambience general', 'positive', 'excellent'], ['dishes', 'food quality', 'positive', 'delicious'], ['service', 'service general', 'positive', 'good'], ['service', 'service general', 'positive', 'friendly']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"this is can became on e of the ny italian food fare institutions ."
] | [['NULL', 'restaurant general', 'positive', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"i think that it is absolutely brilliant and well runned business operation ."
] | [['NULL', 'restaurant general', 'positive', 'brilliant'], ['NULL', 'restaurant general', 'positive', 'well runned']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the wine list is also really nice ."
] | [['wine list', 'drinks style_options', 'positive', 'nice']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"i have been to casimir over 5 times and i have always had a great time there ."
] | [['casimir', 'restaurant general', 'positive', 'great time']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the food is great and reasonably priced ."
] | [['food', 'food quality', 'positive', 'great'], ['food', 'food prices', 'positive', 'reasonably priced']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"i have tried to make reservations , but both times , the hostess did n ' t have my name ."
] | [['hostess', 'service general', 'negative', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"if the weather is nice , try to snag an outside table ."
] | [['outside table', 'ambience general', 'positive', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the staff has been nice , but they seemed really stressed and the unisex bathroom needs to be cleaned more often ."
] | [['staff', 'service general', 'positive', 'nice'], ['staff', 'service general', 'positive', 'stressed'], ['unisex bathroom', 'ambience general', 'negative', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"my boyfriend and i went there to celebrate my birthday the other night and all i can say is that it was magnificent ."
] | [['NULL', 'restaurant general', 'positive', 'magnificent']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"from the spectacular caviar to the hospitable waitstaff , i felt like royalty and enjoyed every second of it ."
] | [['caviar', 'food quality', 'positive', 'spectacular'], ['waitstaff', 'service general', 'positive', 'hospitable']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"considering we were the last patrons there and it was after the closing time , the waitstaff did not rush us at all and made us feel comfortable and relaxed ."
] | [['waitstaff', 'service general', 'positive', 'comfortable'], ['waitstaff', 'service general', 'positive', 'relaxed']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"i highly recommend caviar russe to anyone who wants delicious top grade caviar and fantastic service ."
] | [['caviar', 'food quality', 'positive', 'delicious top grade'], ['service', 'service general', 'positive', 'fantastic']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"nice family owned traditional restaurant ."
] | [['restaurant', 'restaurant general', 'positive', 'traditional']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"i was pleasantly surprised to find this gem in hoboken ."
] | [['NULL', 'restaurant general', 'positive', 'surprised']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"i found the food to be outstanding , particulary the salmon dish i had ."
] | [['food', 'food quality', 'positive', 'outstanding'], ['salmon dish', 'food quality', 'positive', 'outstanding']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"i also ordered the change mojito , which was out of this world ."
] | [['change mojito', 'drinks quality', 'positive', 'out of this world']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' |
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