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value | input stringlengths 11 389 | output stringlengths 43 461 | situation stringclasses 1
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generation | absa-quad | ['Big thumbs up !'] | [['NULL', 'restaurant general', 'positive', 'thumbs up']] | 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 been to Rao 's probably 15 times the past 3 years and it keeps getting better ."] | [["Rao 's", 'restaurant general', 'positive', 'better']] | 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 | ['Bukhara Grill , the tagline says it all . . `` INDIAN SPICE RAVE ``'] | [['Bukhara Grill', 'restaurant general', 'positive', 'RAVE']] | 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 | ['MY husbands birthday and my sons was not as it was intended ... and we drove two hours to spend too much money to be treated terribly !'] | [['NULL', 'restaurant prices', 'negative', 'too much money'], ['NULL', 'service general', 'negative', 'treated terribly']] | 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 pretty nice but had a bit lacking , which it tries to make up for with a crazy scheme of mirrors .'] | [['atmosphere', 'ambience general', 'negative', 'nice'], ['scheme of mirrors', 'ambience general', 'negative', 'crazy']] | 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 was served with skin , over a bed of extremely undercooked spinach and mashed potatoes .'] | [['NULL', 'food style_options', 'negative', 'served with skin'], ['spinach', 'food quality', 'negative', 'undercooked']] | 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 has totally weird decor , stairs going up with mirrored walls - I am surprised how no one yet broke their head or fall off the stairs - mirrored walls make you dizzy and delusional ...'] | [['decor', 'ambience general', 'negative', 'weird'], ['mirrored walls', 'ambience general', 'negative', 'dizzy'], ['mirrored walls', 'ambience general', 'negative', 'delusional']] | 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 amazing , rich pastas and fresh doughy pizza .'] | [['food', 'food quality', 'positive', 'amazing'], ['pastas', 'food style_options', 'positive', 'rich'], ['pizza', 'food quality', 'positive', 'fresh doughy']] | 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 | ['limited menu , no-so-fresh ingredients , thinly-sliced fish , fall-apart rice .'] | [['menu', 'food style_options', 'negative', 'limited'], ['ingredients', 'food quality', 'negative', 'no-so-fresh'], ['fish', 'food style_options', 'negative', 'thinly-sliced'], ['rice', 'food style_options', 'negative', 'fall-apart']] | 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 like the somosas , chai , and the chole , but the dhosas and dhal were kinda dissapointing .'] | [['somosas', 'food quality', 'positive', 'like'], ['chai', 'food quality', 'positive', 'like'], ['chole', 'food quality', 'positive', 'like'], ['dhosas', 'food quality', 'negative', 'dissapointing'], ['dhal', 'food quality', 'negative', 'dissapointing']] | 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 is great .'] | [['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 | ['The hot dogs are good , yes , but the reason to get over here is the fantastic pork croquette sandwich , perfect on its supermarket squishy bun .'] | [['hot dogs', 'food quality', 'positive', 'good'], ['pork croquette sandwich', 'food quality', 'positive', 'fantastic'], ['bun', 'food quality', 'positive', 'perfect']] | 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 it .'] | [['NULL', '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 | ['Great Indian Food !'] | [['Indian 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 | ['Always good drinks and service is pretty good ;'] | [['drinks', 'drinks quality', 'positive', 'good'], ['service', '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 | ['Highly recommend it !'] | [['NULL', '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 | ['They are not helpful in the least and will give you the grand run around so by the time the event date rolls around you will not only regret chosing this place , but also become hostile !'] | [['NULL', 'service general', 'negative', 'not helpful in the least']] | 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 prices were CHEAP compared to the quality of service and food .'] | [['NULL', 'restaurant prices', 'positive', '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 i... | ||
generation | absa-quad | ['it is not consistent .'] | [['NULL', 'restaurant general', 'negative', 'not consistent']] | 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 amazing ... especially if you get the Chef 's tasting menu and your favourite bottle ( or two ! ) of wine from an extensive selection of wines ."] | [['food', 'food quality', 'positive', 'amazing'], ['selection of wines', 'drinks style_options', 'positive', 'extensive'], ["Chef 's tasting menu", 'food quality', 'positive', 'favourite']] | 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 worst excuse for Japanese food I 've ever encountered ."] | [['NULL', 'restaurant miscellaneous', '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 i... | ||
generation | absa-quad | ['I plan on stopping by next week as well .'] | [['NULL', 'restaurant general', 'positive', 'stopping by next week']] | 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 | ['supercilious scorn is in .'] | [['NULL', 'service general', 'negative', 'supercilious scorn']] | 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 | ['Someone else recommended the dessert - we also left that .'] | [['dessert', 'food quality', 'negative', 'recommended']] | 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 the perfect date spot for Williamsburg couples .'] | [['NULL', 'restaurant miscellaneous', 'positive', 'perfect']] | 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 | ['Indoor was very cozy and cute .'] | [['Indoor', 'ambience general', 'positive', 'cozy'], ['Indoor', 'ambience general', 'positive', '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 | ['The only beverage we did receive was water in dirty glasses !'] | [['NULL', 'service general', 'negative', 'dirty']] | 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 one of our favorite places to eat in NY ."] | [['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 | ['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 i... | ||
generation | absa-quad | ['wont come back again for sure !'] | [['NULL', 'restaurant general', 'negative', 'wont come 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 | ['This place has ruined me for neighborhood sushi .'] | [['sushi', 'food quality', 'positive', 'ruined']] | 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 | ['Me and my girls will definitely go back .'] | [['NULL', 'restaurant general', '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 | ['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 i... | ||
generation | absa-quad | ['I HAVE NEVER EVER HAD SUCH AN UNPLEASANT EXPERIENCE .'] | [['NULL', 'restaurant general', 'negative', 'UNPLEASANT']] | 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 ordered the special , grilled branzino , that was so infused with bone , it was difficult to eat .'] | [['grilled branzino', 'food quality', 'negative', 'difficult to eat']] | 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 veal and the mushrooms were cooked perfectly .'] | [['veal', 'food quality', 'positive', 'perfectly'], ['mushrooms', 'food quality', 'positive', 'perfectly']] | 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 | ['My friend devoured her chicken and mashed potatos .'] | [['chicken and mashed potatos', 'food quality', 'positive', 'devoured']] | 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 all shared so we get to order together and eat together .'] | [['food', 'food style_options', 'positive', 'shared']] | 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 really large portions .'] | [['portions', 'food style_options', 'positive', 'large']] | 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 cheap but very yummy .'] | [['NULL', 'food prices', 'negative', 'Not cheap'], ['NULL', 'food quality', 'positive', 'yummy']] | 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 | ['Wish NY had more of these kind of places : intimate , superb food , homey , top notch all the way around , certainly worth the wait .'] | [['NULL', 'ambience general', 'positive', 'intimate'], ['food', 'food quality', 'positive', 'superb'], ['NULL', 'restaurant general', '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 whole set up is truly unprofessional and I wish Cafe Noir would get some good staff , because despite the current one this is a great place .'] | [['staff', 'service general', 'negative', 'good'], ['Cafe Noir', '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 i... | ||
generation | absa-quad | ['Seating is always prompt , though the restaurant does fill up in the evening .'] | [['Seating', 'service general', 'positive', 'prompt']] | 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 DJ is awesome , I have been there for my birthday and a bunch of other times with friends and I keep going back .'] | [['DJ', 'ambience general', 'positive', 'awesome'], ['NULL', 'restaurant general', 'positive', 'keep going 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 | ['The anti-pasta was excellent , especially the calamari , as were the filling pasta mains .'] | [['anti-pasta', 'food quality', 'positive', 'excellent'], ['calamari', 'food quality', 'positive', 'excellent'], ['pasta mains', 'food quality', 'positive', 'excellent'], ['pasta mains', 'food style_options', '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 | ['A great choice at any cost and a great deal .'] | [['NULL', 'restaurant general', 'positive', 'A great choice'], ['NULL', 'restaurant prices', 'positive', 'a great deal']] | 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 | ['love the food .'] | [['food', 'food 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 | ['The reason there are 4 different results on citysearch for the same place is because they keep trying to start a new thread so they can stock it with positive reviews .'] | [['NULL', 'restaurant miscellaneous', 'negative', 'start a new thread so they can stock it with positive reviews']] | 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 | ['She just nodded and walked off .'] | [['NULL', 'service general', 'negative', 'walked off']] | 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 only is the cuisine the best around , the service has always been attentive and charming .'] | [['cuisine', 'food quality', 'positive', 'best'], ['service', 'service general', 'positive', 'attentive'], ['service', 'service 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 i... | ||
generation | absa-quad | ['too large for just two people but nothing was left .'] | [['NULL', 'food style_options', 'negative', 'too large'], ['NULL', 'food quality', 'positive', 'nothing was left']] | 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 didn 't look like the other patrons in there so unfortunately I think that may have been part of the problem ."] | [['NULL', 'restaurant miscellaneous', 'negative', 'unfortunately']] | 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 | ['If you are the type of person who likes being scared and entertained , this is a great place to go and eat .'] | [['place', 'restaurant miscellaneous', '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 flavors are amazing and the value is phenomenal .'] | [['NULL', 'food quality', 'positive', 'amazing'], ['NULL', 'food prices', 'positive', 'phenomenal']] | 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 | ['Ambiance relaxed and stylish .'] | [['Ambiance', 'ambience general', 'positive', 'relaxed'], ['Ambiance', 'ambience general', 'positive', 'stylish']] | 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 visiting this restaurant and having dinner and drinks !'] | [['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 | ['I had a huge group for my birthday and we were well taken care of .'] | [['NULL', 'service general', 'positive', 'well taken care of']] | 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 | ['Just go to Yamato and order the Red Dragon Roll .'] | [['Yamato', 'restaurant general', 'positive', 'Just go']] | 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 pasta was well cooked , did n't have enough sauce though or flavor ."] | [['pasta', 'food quality', 'positive', 'well cooked'], ['pasta', 'food quality', 'negative', "did n't have enough sauce"]] | 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 wine the service was very good too .'] | [['wine', 'drinks quality', 'positive', 'good'], ['service', '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 | ['Suan is a great place that I often take my friends ( classmates ) too .'] | [['Suan', '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 i... | ||
generation | absa-quad | ['By far the best salad I have had in a fast food restaurant .'] | [['salad', '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 highly recommend it .'] | [['NULL', 'restaurant general', 'positive', 'highly 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 | ['Way below average'] | [['NULL', 'restaurant general', 'negative', 'below 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 i... | ||
generation | absa-quad | ['Ambience is so cute and quaint , good for business although we were there on vacation .'] | [['Ambience', 'ambience general', 'positive', 'cute'], ['Ambience', 'ambience general', 'positive', 'quaint'], ['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 | ['Food is great and inexpensive .'] | [['Food', 'food quality', 'positive', 'great'], ['Food', 'food prices', 'positive', 'inexpensive']] | 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 | ['Awsome Pizza especially the Margheritta slice .'] | [['Pizza', 'food quality', 'positive', 'Awsome'], ['Margheritta slice', 'food quality', 'positive', 'Awsome']] | 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 asparagus , truffle oil , parmesan bruschetta is a winner ! )'] | [['asparagus , truffle oil , 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 i... | ||
generation | absa-quad | ['Considering you will spend at least $ 60 a head , I expect better service .'] | [['service', 'service general', 'negative', 'expect better']] | 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 | ['If you want good authentic Thai this place is not the place to go .'] | [['Thai', 'food quality', 'negative', 'good 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 | ['During the course of the past 3 months , the chef and staff changed and it was not for the better .'] | [['chef', 'food quality', 'negative', 'changed'], ['staff', 'service general', 'negative', 'changed']] | 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 congee and the donut like deep fried dough they call Ow Ley Soh , a delicious and sweet tasting bread .'] | [['congee', 'food quality', 'positive', 'Try'], ['Ow Ley Soh', 'food quality', 'positive', 'delicious'], ['Ow Ley Soh', 'food quality', 'positive', 'sweet']] | 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 could have made a meal of the yummy dumplings from the dumpling menu .'] | [['dumplings', 'food quality', 'positive', 'yummy']] | 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 setting is casual and romantic .'] | [['setting', 'ambience general', 'positive', 'casual'], ['setting', 'ambience general', 'positive', 'romantic']] | 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 sushi seemed pretty fresh and was adequately proportioned .'] | [['sushi', 'food quality', 'positive', 'fresh'], ['sushi', 'food style_options', 'positive', 'proportioned']] | 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 pleasant surprise .'] | [['NULL', 'restaurant general', 'positive', 'pleasant surprise']] | 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 neighborhood joint .'] | [['joint', '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 i... | ||
generation | absa-quad | ["Food was amazing - I love Indian food and eat it quite regularly , but I can say this is one of the best I 've had ."] | [['Food', '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 | ["Though it 's been crowded most times I 've gone here , Bark always delivers on their food ."] | [['food', 'food quality', 'positive', 'delivers on their food'], ['Bark', 'restaurant miscellaneous', 'neutral', 'crowded']] | 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 was n't as if this restaurant had any major bragging points before hand , but now it 's simply repulsive ."] | [['restaurant', 'restaurant general', 'negative', 'repulsive']] | 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 bestt !'] | [['NULL', 'restaurant general', 'positive', 'bestt']] | 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 | ['Look , the appetizers were really good .'] | [['appetizers', '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 | ['Spreads and toppings are great - though a bit pricey .'] | [['Spreads', 'food quality', 'positive', 'great'], ['toppings', 'food quality', 'positive', 'great'], ['Spreads', 'food prices', 'negative', 'pricey'], ['toppings', 'food prices', 'negative', 'pricey']] | 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 'm still mad that i had to pay for lousy food ."] | [['food', 'food quality', 'negative', 'lousy']] | 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 | ['Right off the L in Brooklyn this is a nice cozy place with good pizza .'] | [['pizza', 'food quality', 'positive', 'good'], ['place', 'ambience general', 'positive', 'nice 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 | ['A beautifully designed dreamy Egyptian restaurant that gets sceney at night .'] | [['Egyptian restaurant', 'ambience general', 'positive', 'dreamy']] | 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 | ['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 i... | ||
generation | absa-quad | ['I was there for brunch recently , and we were tag teamed by a waitress and a waiter .'] | [['waitress', 'service general', 'negative', 'tag teamed'], ['waiter', 'service general', 'negative', 'tag teamed']] | 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 | ['Impressed ...'] | [['NULL', 'restaurant general', 'positive', 'Impressed']] | 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 | ["As BFC does n't take reservations you almost always have to wait by the bar - and be abused by the front of house staff until you are seated , which can be over an hour later !"] | [['BFC', 'restaurant miscellaneous', 'negative', 'wait'], ['front of house staff', 'service general', 'negative', 'abused'], ['NULL', 'service general', 'negative', 'over an hour later']] | 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 it was quick which is very important .'] | [['NULL', 'service general', 'positive', 'quick']] | 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 | ['Stay away'] | [['NULL', 'restaurant general', 'negative', 'Stay away']] | 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 flavors robust and subtle .'] | [['NULL', 'food quality', 'positive', 'robust'], ['NULL', 'food quality', 'positive', 'subtle']] | 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 | ['Just not good at all .'] | [['NULL', 'food quality', 'negative', 'not 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 | ['Great spot , whether looking for a couple of drinks or quiet dinner .'] | [['spot', 'restaurant general', 'positive', 'Great'], ['spot', 'restaurant miscellaneous', '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 drinks are great , especially when made by Raymond .'] | [['drinks', 'drinks quality', 'positive', 'great'], ['Raymond', '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 | ["The dishes offered were unique , very tasty and fresh from the lamb sausages , sardines with biscuits , large whole shrimp to the amazing pistachio ice cream ( the best and freshest I 've ever had ) ."] | [['dishes', 'food quality', 'positive', 'unique'], ['dishes', 'food quality', 'positive', 'tasty'], ['dishes', 'food quality', 'positive', 'fresh'], ['pistachio ice cream', '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 | ['After all that , they complained to me about the small tip .'] | [['NULL', 'service general', 'negative', 'complained']] | 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 | ['Give it a try and enjoy .'] | [['NULL', 'restaurant general', 'positive', 'enjoy']] | 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 | ["When the bill came , nothing was comped , so I told the manager very politely that we were willing to pay for the wine , but I didn 't think I should have to pay for food with a maggot in it ."] | [['NULL', 'service general', 'negative', 'maggot']] | 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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