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generation | semeval-2015 | [
"And amazingly cheap."
] | [['NULL', 'food prices', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Big thumbs up!"
] | [['NULL', 'restaurant general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Very affordable and excellent ambient!"
] | [['ambient', 'ambience general', 'positive'], ['NULL', 'restaurant prices', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"We ordered some beef and noodle soup dishes from the Thai section of the menu but nothing we got was Thai."
] | [['beef and noodle soup dishes', 'food quality', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"We were very disappointed."
] | [['NULL', 'food quality', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"We won't go to this place again for a good meal."
] | [['meal', 'food quality', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"However, I think this place is a good hang out spot."
] | [['place', 'ambience general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"My Girlfriend and I stumbled onto this hopping place the other night and had a great time!"
] | [['place', 'restaurant general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"THe Pizza and wine were excellent-the service too--but what really MADE this place was the backyard dining area."
] | [['Pizza', 'food quality', 'positive'], ['wine', 'drinks quality', 'positive'], ['service', 'service general', 'positive'], ['backyard dining area', 'ambience general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"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']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"They tell me they are going to cover the garden in glass for the winter, so i'm looking forward to going there on a snowy night to enjoy it."
] | [['NULL', 'restaurant miscellaneous', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Check this place out!"
] | [['place', 'restaurant general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"HIGHLY RECOMMENDED!!!!!"
] | [['NULL', 'restaurant general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"First of all, this place is *not* romantic, as claimed by Citysearch's editorial review."
] | [['place', 'ambience general', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Either that, or the editor's idea of romance must be sharing a conversation with the next table, while trying to speak louder than the traffic on 57th."
] | [['NULL', 'ambience general', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"The tables are crammed way too close, the menu is typical of any Italian restaurant, and the wine list is simply overpriced."
] | [['tables', 'ambience general', 'negative'], ['menu', 'food style_options', 'neutral'], ['wine list', 'drinks prices', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Slightly above average wines start at $70+ with only one selection listed at $30+."
] | [['wines', 'drinks quality', 'negative'], ['wines', 'drinks prices', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Service is not what one would expect from a joint in this price category."
] | [['Service', 'service general', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"For instance, plates were just dumped on the table, I was handed the wine list upside down, etc.... "
] | [['NULL', 'service general', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Somehow working the italian charm with constant mille grazie does not constitute proper service."
] | [['service', 'service general', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"To be completely fair, the only redeeming factor was the food, which was above average, but couldn't make up for all the other deficiencies of Teodora."
] | [['food', 'food quality', 'positive'], ['Teodora', 'restaurant general', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Not one of our meals was edible - bland and/or made with weird rosemary or orange flavoring."
] | [['meals', 'food quality', 'negative'], ['rosemary or orange flavoring', 'food quality', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Fish was overdone."
] | [['Fish', 'food quality', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Cute place, nice wait staff but would never go there again."
] | [['wait staff', 'service general', 'positive'], ['place', 'ambience general', 'positive'], ['place', 'restaurant general', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Someone else recommended the dessert - we also left that."
] | [['dessert', 'food quality', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"One of us actually liked the expresso - that's it."
] | [['expresso', 'drinks quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Skip this restaurant, it's a big disappointment."
] | [['restaurant', 'restaurant general', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Myagi is one of my favorite restaurants in the City; the place the negative reviews describe sound like they were somewhere else."
] | [['Myagi', 'restaurant general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"I've never had bad service and the fish is fresh and delicious."
] | [['service', 'service general', 'positive'], ['fish', 'food quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Their tuna tartar appetizer is to die for."
] | [['tuna tartar appetizer', 'food quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"I come from a family of pizzeria owners, and I'm almost ashamed to say that the pizza in Fornino's blows my families receipies away."
] | [['pizza', 'food quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"It is simply amazing."
] | [['NULL', 'food quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"The place is so cool and the service is prompt and curtious."
] | [['service', 'service general', 'positive'], ['place', 'ambience general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"I highly recommend to anyone to give this place a try."
] | [['place', 'restaurant general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"You will find yourself returning quite often."
] | [['NULL', 'restaurant general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"A restaurant that doesn't try to do anything except serve great food with great service in a pleasant atmosphere."
] | [['food', 'food quality', 'positive'], ['service', 'service general', 'positive'], ['atmosphere', 'ambience general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"No gimmicks here -- the food speaks for itself in its freshness and preparation."
] | [['food', 'food quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"The dining room is quietly elegant with no music to shout over -- how refreshing!"
] | [['dining room', 'ambience general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"The service was impeccable and unobtrusive -- the staff knows what they are there to do -- to know their menu, present your meal, and attend to your needs."
] | [['service', 'service general', 'positive'], ['staff', 'service general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Looking around, I saw a room full of New Yorkers enjoying a real meal in a real restaurant, not a clubhouse of the fabulous trying to be seen."
] | [['meal', 'food quality', 'positive'], ['restaurant', 'ambience general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Beautiful experience."
] | [['NULL', 'restaurant general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"The view is breathtaking the service is top notch... the ambiance is wonderfull."
] | [['view', 'location general', 'positive'], ['service', 'service general', 'positive'], ['ambiance', 'ambience general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"The staff offers impeccable service."
] | [['staff', 'service general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"I had Lobster Bisque it has 2 oz. of Maine Lobster in it."
] | [['Lobster Bisque', 'food quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"My boyfriend had the New England Chowder it was good but I think the award should go to the Lobster Bisque."
] | [['New England Chowder', 'food quality', 'positive'], ['Lobster Bisque', 'food quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"It was divine melts in your mouth."
] | [['NULL', 'food quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"My boyfriend had Prime Rib it was good ."
] | [['Prime Rib', 'food quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"We didn't want a bottle of bubbly on a weekday so we each got little bottles of Korbett it was just enough. "
] | [['bottles of Korbett', 'drinks style_options', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"It's cuz it's so good you need to taste it!!! "
] | [['NULL', 'food quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"All in all we're already coming up with excuses to go ahead really soon in the next few wks!!!!"
] | [['NULL', 'restaurant general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"My wife and I ate here earlier this week and have not stopped ranting and raving about the food."
] | [['food', 'food quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"If you like spicy food get the chicken vindaloo."
] | [['chicken vindaloo', 'food quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"It's very spicy but not offensive."
] | [['NULL', 'food quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"We will definitely go back."
] | [['NULL', 'restaurant general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Go to Volare for 1st class service and terrific food."
] | [['service', 'service general', 'positive'], ['food', 'food quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"The portions are large and the servers always surprise us with a different starter."
] | [['portions', 'food style_options', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"The wine list is excellent."
] | [['wine list', 'drinks style_options', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"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'], ['selection of wines', 'drinks style_options', 'positive'], ["Chef's tasting menu", 'food quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"The place is small and intimate and you may feel a little crowded, but the service is excellent and it's great for friends out, a romantic date, or a special occassion."
] | [['service', 'service general', 'positive'], ['place', 'ambience general', 'negative'], ['place', 'restaurant miscellaneous', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"The food can get pricey but the prixe fixe tasting menu is the greatest food for a good price and they cater the food to any food allergies or food you don't like."
] | [['food', 'food prices', 'negative'], ['prixe fixe tasting menu', 'food quality', 'positive'], ['prixe fixe tasting menu', 'food prices', 'positive'], ['NULL', 'service general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Please be aware that it's CASH or AMEX only!"
] | [['NULL', 'restaurant miscellaneous', 'neutral']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"With the exception of our lemon salad that had so much pepper on it that our eyes started watering, the food here was decent, not great."
] | [['food', 'food quality', 'neutral'], ['lemon salad', 'food quality', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"The menu is very limited - i think we counted 4 or 5 entrees."
] | [['menu', 'food style_options', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"We ordered the special, grilled branzino, that was so infused with bone, it was difficult to eat."
] | [['grilled branzino', 'food quality', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"The decor in this place is very diner-ish and the kind of place you expect in the East Village - not romantic, just simple, small and sparse."
] | [['decor', 'ambience general', 'neutral']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Problem is nothing at Prune is particularly memorable."
] | [['Prune', 'restaurant general', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"No plans to return anytime soon."
] | [['NULL', 'restaurant general', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"This place is so much fun."
] | [['place', 'ambience general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Our family never expected such incredible entertainment in a restaurant."
] | [['entertainment', 'ambience general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Our food was great too!"
] | [['food', 'food quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"And really large portions."
] | [['portions', 'food style_options', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"The staff was the friendliest that have seen in New York."
] | [['staff', 'service general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"We will go back every time we are in the City."
] | [['NULL', 'restaurant general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"If you want something really different than try Jekyll and Hyde."
] | [['Jekyll and Hyde', 'restaurant general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"It is a lot of fun with live entertainment and all kinds of Disney type special effects."
] | [['NULL', 'ambience general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"The food was pretty tradional but it was hot and good with large portions."
] | [['food', 'food quality', 'positive'], ['portions', 'food style_options', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"I highly recommend it."
] | [['NULL', 'restaurant general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"The place is a lot of fun."
] | [['place', 'ambience general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"My six year old loved it."
] | [['NULL', 'restaurant general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"The characters really make for an enjoyable experience."
] | [['characters', 'ambience general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"The food however, is what one might expect."
] | [['food', 'food quality', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"It is very overpriced and not very tasty."
] | [['NULL', 'food quality', 'negative'], ['NULL', 'food prices', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"However, I think Jeckll and Hydes t is one of those places that is fun to do once."
] | [['Jeckll and Hydes', 'restaurant general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"We had a good time."
] | [['NULL', 'restaurant general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Went there with my wife and we had to wait for a table even though you could see there many that were empty with not reservation sigh on them."
] | [['NULL', 'service general', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Service was slow had to wait to order and get food although not crowded."
] | [['Service', 'service general', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
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generation | semeval-2015 | [
"Drinks way over priced."
] | [['Drinks', 'drinks prices', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
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generation | semeval-2015 | [
"Food was good not great not worth the wait or another visit"
] | [['Food', 'food quality', 'neutral'], ['NULL', 'restaurant general', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
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generation | semeval-2015 | [
"Great pizza for lunch place."
] | [['pizza', 'food quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
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generation | semeval-2015 | [
"Service was quick."
] | [['Service', 'service general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
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generation | semeval-2015 | [
"The pizza was great."
] | [['pizza', 'food quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
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generation | semeval-2015 | [
"And it was quick which is very important."
] | [['NULL', 'service general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
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generation | semeval-2015 | [
"It was wonderful."
] | [['NULL', 'drinks quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
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generation | semeval-2015 | [
"Whenever you need a Sushi fix, Mizu will be there with quality fish and great service."
] | [['fish', 'food quality', 'positive'], ['service', 'service general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
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generation | semeval-2015 | [
"Delivery is fast too."
] | [['Delivery', 'service general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
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generation | semeval-2015 | [
"Great friendly service, Fast seating, Fast Delivery, Excellent sushi."
] | [['service', 'service general', 'positive'], ['seating', 'service general', 'positive'], ['Delivery', 'service general', 'positive'], ['sushi', 'food quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
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generation | semeval-2015 | [
"A little overpriced but worth it once you take a bite."
] | [['NULL', 'food prices', 'negative'], ['NULL', 'food quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
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generation | semeval-2015 | [
"Ess-A-Bagel (either by Sty-town or midtown) is by far the best bagel in NY."
] | [['bagel', 'food quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
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generation | semeval-2015 | [
"The bagels always warm, soft on the inside, crispy on the outside and enormous in size."
] | [['bagels', 'food quality', 'positive'], ['bagels', 'food style_options', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
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generation | semeval-2015 | [
"They have a huge selection of different cream cheeses and all of their salads are great."
] | [['salads', 'food quality', 'positive'], ['cream cheeses', 'food style_options', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
Subsets and Splits