task_type stringclasses 1
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value | input stringlengths 11 389 | output stringlengths 43 461 | situation stringclasses 1
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generation | absa-quad | ['Great survice'] | [['survice', 'service 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 i... | ||
generation | absa-quad | ['Good food .'] | [['food', '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 i... | ||
generation | absa-quad | ['Much of the time it seems like they do not care about you .'] | [['NULL', 'service general', 'negative', 'do not care about you']] | 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 i... | ||
generation | absa-quad | ['Food was OK .'] | [['Food', 'food quality', 'neutral', '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 i... | ||
generation | absa-quad | ['So close , but not good enough .'] | [['NULL', 'restaurant general', 'neutral', 'not good 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 i... | ||
generation | absa-quad | ['Went here on sat 1 /26 and was disappointed .'] | [['NULL', 'restaurant general', 'negative', 'disappointed']] | 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 i... | ||
generation | absa-quad | ['the food is decent .'] | [['food', 'food quality', 'neutral', 'decent']] | 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 i... | ||
generation | absa-quad | ['For authentic Thai food , look no further than Toons .'] | [['Thai food', 'food quality', '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 i... | ||
generation | absa-quad | ['The wife had the risotto which was amazing .'] | [['risotto', 'food quality', '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 i... | ||
generation | absa-quad | ['Great , original taste .'] | [['NULL', 'food quality', 'positive', 'Great'], ['NULL', 'food quality', 'positive', 'original']] | 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 i... | ||
generation | absa-quad | ['They smell like they stuff them with old canned vegetables like the spinach mushroom calzone .'] | [['NULL', 'food quality', 'negative', 'old canned vegetables']] | 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 i... | ||
generation | absa-quad | ['Overall , not worth the money .'] | [['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 i... | ||
generation | absa-quad | ['The bread was stale , the salad was overpriced and empty .'] | [['bread', 'food quality', 'negative', 'stale'], ['salad', 'food prices', 'negative', 'overpriced'], ['salad', 'food style_options', 'negative', 'empty']] | 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 i... | ||
generation | absa-quad | ['While their kitchen food is delicious , their Sushi is out of this world .'] | [['kitchen food', 'food quality', 'positive', 'delicious'], ['Sushi', 'food 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 i... | ||
generation | absa-quad | ['He offers subpar service and has no personality .'] | [['service', 'service general', 'negative', 'subpar']] | 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 i... | ||
generation | absa-quad | ['I go out to eat and like my courses , servers are patient and never rush courses or force another drink .'] | [['servers', 'service general', 'positive', 'patient']] | 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 i... | ||
generation | absa-quad | ['We had the scallops as an appetizer and they were delicious and the sauce was wonderful .'] | [['scallops', 'food quality', 'positive', 'delicious'], ['sauce', 'food quality', 'positive', 'wonderful']] | 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 i... | ||
generation | absa-quad | ['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 i... | ||
generation | absa-quad | ['AMAZING MY 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 i... | ||
generation | absa-quad | ['This is my first time writing a review for a restaurant because the food and service was excellent .'] | [['food', 'food quality', 'positive', 'excellent'], ['service', 'service general', '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 i... | ||
generation | absa-quad | ['Great sake !'] | [['sake', 'drinks 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 i... | ||
generation | absa-quad | ['The dessert ( we had a pear torte ) was good - but , once again , the staff was unable to provide appropriate drink suggestions .'] | [['pear torte', 'food quality', 'positive', 'good'], ['staff', 'service general', 'negative', 'unable to provide']] | 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 i... | ||
generation | absa-quad | ['You would think they would make up for it with service , sadly , no .'] | [['service', 'service general', 'negative', 'sadly']] | 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 i... | ||
generation | absa-quad | ['I had a huge pastrami sandwich on a roll .'] | [['pastrami sandwich on a roll', 'food style_options', 'neutral', 'huge']] | 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 i... | ||
generation | absa-quad | ['The Dancing , White River and Millenium rolls are musts .'] | [['Dancing , White River and Millenium rolls', 'food quality', 'positive', 'musts']] | 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 i... | ||
generation | absa-quad | ['This place is pricey , and yes , the food is worth it ; but the service makes you feel like you should be paying a quater of the price .'] | [['place', 'restaurant prices', 'negative', 'pricey'], ['food', 'food quality', 'positive', 'worth'], ['service', 'service general', 'negative', 'paying a quater of the price']] | 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 i... | ||
generation | absa-quad | ['Never have I had such dramatic delivery guys ( a lot of huffing and panting and muttering under breath b/c I live in a walkup ) who always seem disappointed with their tips .'] | [['delivery guys', 'service general', 'negative', 'dramatic']] | 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 i... | ||
generation | absa-quad | ['Try the sea bass .'] | [['sea bass', 'food quality', 'positive', 'Try']] | 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 i... | ||
generation | absa-quad | ['Guess what , I waited for TWENTY minutes before she came over and when she finally did , she says , `` oh well , I wish you would have said something earlier `` No apology , nothing .'] | [['NULL', 'service general', 'negative', 'No apology']] | 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 i... | ||
generation | absa-quad | ['This place is a must visit !'] | [['place', 'restaurant general', 'positive', 'must visit']] | 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 i... | ||
generation | absa-quad | ["I take all my NYC guests to VT 's ."] | [["VT 's", 'restaurant miscellaneous', 'positive', 'take all my NYC guests']] | 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 i... | ||
generation | absa-quad | ["It is set far from the small street it 's on , and there is no traffic noise ."] | [['NULL', 'location general', 'positive', 'no traffic noise']] | 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 i... | ||
generation | absa-quad | ['Fish was overdone .'] | [['Fish', 'food quality', 'negative', 'overdone']] | 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 i... | ||
generation | absa-quad | ['I also recommend the rice dishes or the different varieties of congee ( rice porridge ) .'] | [['rice dishes', 'food quality', 'positive', 'recommend'], ['congee ( rice porridge )', '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 i... | ||
generation | absa-quad | ["It 's a small cute restaurant ."] | [['restaurant', 'restaurant general', 'positive', 'small cute']] | 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 i... | ||
generation | absa-quad | ['This tiny Williamsburg spot is always pleasantly surprising .'] | [['Williamsburg spot', 'restaurant general', 'positive', 'surprising']] | 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 i... | ||
generation | absa-quad | ['We , there were four of us , arrived at noon - the place was empty - and the staff acted like we were imposing on them and they were very rude .'] | [['staff', '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 i... | ||
generation | absa-quad | ["It 's simply the best meal in NYC ."] | [['meal', 'food quality', 'positive', 'best']] | 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 i... | ||
generation | absa-quad | ['I would never recommend this place to anybody even for a casual dinner .'] | [['place', 'restaurant general', 'negative', 'never recommend'], ['place', 'restaurant miscellaneous', 'negative', 'never 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 i... | ||
generation | absa-quad | ['The staff is very good .'] | [['staff', 'service 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 i... | ||
generation | absa-quad | ['The cream cheeses are out of this world and I love that coffee ! !'] | [['cream cheeses', 'food quality', 'positive', 'out of this world'], ['coffee', 'drinks quality', '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 i... | ||
generation | absa-quad | ['Food awesome .'] | [['Food', 'food quality', 'positive', 'awesome']] | 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 i... | ||
generation | absa-quad | ['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 i... | ||
generation | absa-quad | ['Good drink .'] | [['drink', 'drinks 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 i... | ||
generation | absa-quad | ['The service leaves much to be desired , from feeling like you are rushed the place your order , to being ignored the rest of the night .'] | [['service', 'service general', 'negative', 'leaves much to be desired']] | 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 i... | ||
generation | absa-quad | ['It is also extremely well priced .'] | [['NULL', 'food prices', 'positive', 'well 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 i... | ||
generation | absa-quad | ['They were such a rip-off ( $ 8 .95 for four small meat patties in steamed buns ) and not worth trying .'] | [['NULL', 'food quality', 'negative', 'rip-off'], ['NULL', 'food style_options', 'negative', 'small'], ['NULL', 'food 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 i... | ||
generation | absa-quad | ['The crust has a great bite and a good chew , the sauce is light with a nice acidity to it , the salt from the cheese is great , really heightens the flavor of all the other components .'] | [['crust', 'food quality', 'positive', 'great'], ['crust', 'food quality', 'positive', 'good'], ['sauce', 'food quality', 'positive', 'light'], ['cheese', '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 i... | ||
generation | absa-quad | ["but when we looked at the menu , there weren 't a lot of choices , most of them were dumplings in the appetizer section ."] | [['menu', 'food style_options', 'negative', "weren 't a lot of choices"]] | 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 i... | ||
generation | absa-quad | ['The price is reasonable although the service is poor .'] | [['NULL', 'restaurant prices', 'positive', 'reasonable'], ['service', 'service general', 'negative', 'poor']] | 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 i... | ||
generation | absa-quad | ['Remind me of home .'] | [['NULL', 'restaurant miscellaneous', 'positive', 'home']] | 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 i... | ||
generation | absa-quad | ["We paid and left because we didn 't feel like arguing any more ."] | [['NULL', 'service general', 'negative', 'arguing']] | 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 i... | ||
generation | absa-quad | ['We all agreed that mare is one of the best seafood restaurants in New York .'] | [['mare', 'restaurant general', 'positive', 'best']] | 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 i... | ||
generation | absa-quad | ['A classic !'] | [['NULL', 'food quality', 'positive', 'classic']] | 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 i... | ||
generation | absa-quad | ["The pizza is delicious - they use fresh mozzarella instead of the cheap , frozen , shredded cheese common to most pizzaria 's ."] | [['pizza', 'food quality', 'positive', 'delicious'], ['fresh mozzarella', '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 i... | ||
generation | absa-quad | ['Great food .'] | [['food', '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 i... | ||
generation | absa-quad | ['I generally like this place .'] | [['place', '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 i... | ||
generation | absa-quad | ['However , our main course was wonderful .'] | [['main course', 'food quality', 'positive', 'wonderful']] | 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 i... | ||
generation | absa-quad | ['We were drawn into the belly dancing show that captivated the crowd .'] | [['belly dancing show', 'ambience general', 'positive', 'captivated']] | 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 i... | ||
generation | absa-quad | ['I have to highly recommend the lobster roll - not to much mayo ; you can tell it was a fresh lobster .'] | [['lobster roll', 'food quality', 'positive', 'recommend'], ['lobster', '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 i... | ||
generation | absa-quad | ['The service is good and the resturant is clean .'] | [['service', 'service general', 'positive', 'good'], ['resturant', 'ambience general', 'positive', 'clean']] | 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 i... | ||
generation | absa-quad | ['I really recommend the very simple Unda ( Egg ) rolls .'] | [['Unda ( Egg ) rolls', 'food quality', 'positive', 'recommend'], ['Unda ( Egg ) rolls', 'food quality', 'positive', 'simple']] | 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 i... | ||
generation | absa-quad | ['The environment is very upscale and you will see a lot of rich guys with trophy wives or just highly paid escorts .'] | [['environment', 'ambience general', 'neutral', 'upscale']] | 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 i... | ||
generation | absa-quad | ['Everything on the menu is great .'] | [['menu', '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 i... | ||
generation | absa-quad | ['everyone was cheerfully cooperative and helpful .'] | [['NULL', 'service general', 'positive', 'cheerfully cooperative'], ['NULL', 'service general', 'positive', 'helpful']] | 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 i... | ||
generation | absa-quad | ["The wait here is long for dim sum , but if you do n't like sharing tables or if the typical raucous dim sum atmosphere is not your gig , this is a sleek ( for Chinatown ) alternative ."] | [['wait', 'service general', 'negative', 'long'], ['atmosphere', 'ambience general', 'negative', 'raucous'], ['NULL', 'restaurant miscellaneous', 'negative', 'sleek']] | 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 i... | ||
generation | absa-quad | ['This place blew me away ... by far my new favorite restaurant on the uppereast side .'] | [['place', '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 i... | ||
generation | absa-quad | ['Food was very good as well , considering that we tried the budget selection ( though I wish the pork belly that I ordered was roasted a bit longer , so that fat was more of a melt-in-your-mouth experience ) .'] | [['Food', 'food quality', 'positive', 'good'], ['pork belly', 'food quality', 'negative', 'roasted a bit longer']] | 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 i... | ||
generation | absa-quad | ['I heard the lobster roll was excellent .'] | [['lobster roll', '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 i... | ||
generation | absa-quad | ["It 's a rather cramped and busy restaurant and it closes early ."] | [['restaurant', 'restaurant miscellaneous', 'negative', 'closes early'], ['restaurant', 'ambience general', 'negative', 'cramped'], ['restaurant', 'ambience general', 'negative', 'busy']] | 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 i... | ||
generation | absa-quad | ['The atmosphere was great .'] | [['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 i... | ||
generation | absa-quad | ['All the people that I bring there go back on their own and bring THEIR friends !'] | [['NULL', 'restaurant miscellaneous', 'positive', 'go back']] | 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 i... | ||
generation | absa-quad | ['I pray it stays open forever .'] | [['NULL', 'restaurant general', 'positive', 'stays open forever']] | 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 i... | ||
generation | absa-quad | ["The wait staff is pleasant , fun , and for the most part gorgeous ( in the wonderful aesthetic beautification way , not in that she 's-way-cuter-than-me-that-b @ # $ * way ) ."] | [['wait staff', 'service general', 'positive', 'pleasant'], ['wait staff', 'service general', 'positive', 'fun'], ['wait staff', 'service general', 'positive', 'gorgeous']] | 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 i... | ||
generation | absa-quad | ['One of the best hot dogs I have ever eaten .'] | [['NULL', 'food quality', 'positive', 'best']] | 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 i... | ||
generation | absa-quad | ['fine dining restaurant quality .'] | [['dining', 'food quality', 'positive', 'fine']] | 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 i... | ||
generation | absa-quad | ['It melted in my little mouth and the perfect consistency-not too fishy , creamy , and slightly buttery .'] | [['NULL', 'food quality', 'positive', 'perfect consistency'], ['NULL', 'food quality', 'positive', 'not too fishy'], ['NULL', 'food quality', 'positive', 'creamy'], ['NULL', 'food quality', 'positive', 'buttery']] | 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 i... | ||
generation | absa-quad | ['They charge different prices all the time .'] | [['NULL', 'service general', 'negative', 'charge different prices']] | 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 i... | ||
generation | absa-quad | ['I read reviews that called the restaurant too expensive and I thought to myself , but may be it is worth it .'] | [['restaurant', 'restaurant prices', 'negative', 'expensive'], ['restaurant', 'restaurant general', 'negative', 'expensive']] | 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 i... | ||
generation | absa-quad | ['This tiny restaurant is as cozy as it gets , with that certain Parisian flair .'] | [['restaurant', 'ambience general', 'positive', 'cozy']] | 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 i... | ||
generation | absa-quad | ['and yes Dal Bukhara is so dam good and so are all the kababs .'] | [['kababs', 'food quality', 'positive', 'good'], ['Dal Bukhara', '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 i... | ||
generation | absa-quad | ['the crust was imazingly cooked well and pizza was fully loaded : ) : ) : )'] | [['crust', 'food quality', 'positive', 'cooked well'], ['pizza', 'food style_options', 'positive', 'fully loaded']] | 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 i... | ||
generation | absa-quad | ['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 i... | ||
generation | absa-quad | ['We were 4 and got the family size penne a la vodka which was tremendously gigantic portion ... a bucket of food literally .'] | [['penne a la vodka', 'food style_options', 'positive', 'gigantic']] | 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 i... | ||
generation | absa-quad | ['Our server was very helpful and friendly .'] | [['server', 'service general', 'positive', 'helpful'], ['server', '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 i... | ||
generation | absa-quad | ['Make sure you have the Spicy Scallop roll ...'] | [['Spicy Scallop roll', 'food quality', 'positive', 'Make sure']] | 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 i... | ||
generation | absa-quad | ['The service was attentive .'] | [['service', '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 i... | ||
generation | absa-quad | ['The service was fast and friendly and the food was very tasty and they had the best hot sauce to add to your meals .'] | [['service', 'service general', 'positive', 'fast'], ['service', 'service general', 'positive', 'friendly'], ['food', 'food quality', 'positive', 'tasty'], ['hot sauce', 'food quality', 'positive', 'best']] | 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 i... | ||
generation | absa-quad | ['I must say I am surprised by the bad reviews of the restaurant earlier in the year , though .'] | [['restaurant', 'restaurant general', 'positive', 'bad']] | 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 i... | ||
generation | absa-quad | ['Mistakes happen , but they are usually accompanied by an apology , perhaps even a glass of wine ... but not the grunt that we received from the Al Di La staff .'] | [['staff', 'service general', 'negative', 'grunt']] | 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 i... | ||
generation | absa-quad | ['The place is small and cramped but the food is fantastic .'] | [['place', 'ambience general', 'negative', 'small'], ['place', 'ambience general', 'negative', 'cramped'], ['food', 'food quality', '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 i... | ||
generation | absa-quad | ['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 i... | ||
generation | absa-quad | ['The lunch buffet is expensive but is deff worth it .'] | [['lunch buffet', 'food prices', 'negative', 'expensive'], ['lunch buffet', 'food quality', 'positive', '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 i... | ||
generation | absa-quad | ['The outdoor atmosphere of sitting on the sidewalk watching the world go by 50 feet away on 6th avenue on a cool evening was wonderful .'] | [['outdoor atmosphere', 'location general', 'positive', 'wonderful']] | 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 i... | ||
generation | absa-quad | ['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 i... | ||
generation | absa-quad | ['The food now is inconsistent .'] | [['food', 'food quality', 'negative', 'inconsistent']] | 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 i... | ||
generation | absa-quad | ['All in all the food was good - a little on the expensive side , but fresh .'] | [['food', 'food quality', 'positive', 'fresh'], ['food', 'food quality', 'positive', 'good'], ['food', 'food prices', 'negative', 'expensive']] | 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 i... | ||
generation | absa-quad | ["At $ 120 for two people , however , this in no way represents value , unless you 're looking to pay by the hour for passive-aggressive torture ."] | [['NULL', 'restaurant prices', 'negative', 'no way represents value'], ['NULL', 'service general', 'negative', 'torture']] | 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 i... | ||
generation | absa-quad | ['The servers at Flatbush Farm appear to have perfected that ghastly technique of making you feel guilty and ashamed for deigning to attract their attention .'] | [['servers', 'service general', 'negative', 'perfected']] | 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 i... | ||
generation | absa-quad | ['It is one the nicest outdoor restaurants I have ever seen in NY -- I am from Italy and this place rivals the ones in my country .'] | [['outdoor restaurants', 'ambience general', 'positive', 'nicest']] | 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 i... |
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