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generation | semeval-2015 | [
"The lox is always fresh too."
] | [['lox', '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 | [
"Highly recommended to all!"
] | [['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 | [
"Not impressed with the food."
] | [['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 | [
"Prices too high for this cramped and unappealing resturant."
] | [['resturant', 'restaurant prices', 'negative'], ['resturant', '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 | [
"Zero ambiance to boot."
] | [['ambiance', '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 | [
"I thought this place was totally overrated."
] | [['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 | [
"Everything we had was good or ok....but definitely nothing great."
] | [['NULL', 'food quality', '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 | [
"The ambience was nice, but service wasn't so great."
] | [['ambience', 'ambience general', 'positive'], ['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 | [
"When you add it all together, it just doesn't seem worth it to me...especially considering the prices."
] | [['NULL', 'restaurant general', 'negative'], ['NULL', 'restaurant 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 | [
"This is the BEST Shabu-Shabu Restaurant in the Try-State Area."
] | [['Shabu-Shabu Restaurant', '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 have lived in Japan for 7 years and the taste of the food and the feel of the restaurant is like being back in Japan."
] | [['food', 'food quality', 'positive'], ['feel', '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 | [
"Thius is a must for anyone who loves Shabu-Shabu."
] | [['Shabu-Shabu', '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 atmosphere is nothing special, but it feels like a Sushi establishment in Tokyo."
] | [['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 | [
"The owner and staff are all Japanese as well and that adds to the entire ambiance."
] | [['owner', 'restaurant miscellaneous', 'positive'], ['staff', 'restaurant miscellaneous', '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 | [
"Despite a slightly limited menu, everything prepared is done to perfection, ultra fresh and a work of food art."
] | [['menu', 'food style_options', 'negative'], ['NULL', 'food quality', 'positive'], ['NULL', '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 must give it Yon out of Yon stars!"
] | [['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 | [
"Taxan delicious!"
] | [['Taxan', '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 weren't!"
] | [['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 prices were CHEAP compared to the quality of service and food."
] | [['NULL', 'restaurant prices', 'positive'], ['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 | [
"We liked it so much, that we will always make it a point to dine here when we visit New York."
] | [['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 location and ambience is Ok but the food is what makes up for it."
] | [['location', 'location general', 'neutral'], ['ambience', 'ambience general', 'neutral'], ['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 | [
"There is a lot of variety even for people who eat vegetarian like me."
] | [['NULL', '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 | [
"Try green curry with vegetables."
] | [['green curry with vegetables', '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 quantity is also very good, you will come out satisfied."
] | [['quantity', '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 service is ok, some of the people didn't get what they asked for."
] | [['service', 'service 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 | [
"I was there on sat. for my birthday and we had an excellent 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 | [
"I had the best ravioli ever."
] | [['ravioli', '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 wine the service was very good too."
] | [['wine', 'drinks 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']] |
||
generation | semeval-2015 | [
"Moderate prices."
] | [['NULL', 'restaurant prices', '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 | [
"A little noise but I think that was because of our party!"
] | [['NULL', '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 | [
"This quaint and romantic trattoria is at the top of my Manhattan restaurant list."
] | [['trattoria', 'ambience general', 'positive'], ['trattoria', '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 food is delicious - from the specials to the regular menu-fare, the dishes are never a disappointment."
] | [['food', 'food quality', 'positive'], ['dishes', 'food quality', 'positive'], ['specials', 'food quality', 'positive'], ['regular menu-fare', '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 | [
"Whether it's the parmesean porcini souffle or the lamb glazed with balsamic vinegar, you will surely be transported to Northern Italy with one bite."
] | [['parmesean porcini souffle', 'food quality', 'positive'], ['lamb glazed with balsamic vinegar', '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 | [
"Although the tables may be closely situated, the candle-light, food-quality and service overcompensate."
] | [['candle-light', 'ambience general', 'positive'], ['food', 'food quality', 'positive'], ['service', 'service general', 'positive'], ['tables', '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 | [
"A guaranteeed delight!"
] | [['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 | [
"I have known about this secret for the last 13 years, Emilio(the Godfather) has continued to serve food and wine for the gods at mortal prices."
] | [['food', 'food quality', 'positive'], ['wine', 'drinks quality', 'positive'], ['food', 'food prices', 'positive'], ['wine', 'drinks 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 | [
"If you go, try the marinara/arrabiatta sauce, the mozzarella en Carozza is mmmmmmmm..... everything is just delicious."
] | [['marinara/arrabiatta sauce', 'food quality', 'positive'], ['mozzarella en Carozza', 'food quality', 'positive'], ['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 | [
"Check out the secret back room."
] | [['back 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 | [
"I pray it stays open forever."
] | [['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 | [
"Thank You Emilio."
] | [['Emilio', '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 found the food, service and value exceptional everytime I have been there."
] | [['food', 'food quality', 'positive'], ['service', 'service 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 | [
"The food was authentic."
] | [['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 | [
"I felt as though I were eating in Paris."
] | [['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 service was excellent - friendly and attentive."
] | [['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']] |
||
generation | semeval-2015 | [
"The prices are wonderfully low."
] | [['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 | [
"Very good wine choices."
] | [['wine choices', '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 | [
"Who has room for Cheesesticks with the best pizza in NYC!"
] | [['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 | [
"Get the pepperoni - YUM - and a family style salad."
] | [['pepperoni', 'food quality', 'positive'], ['family style salad', '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 | [
"Great staff."
] | [['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 | [
"Always great service!"
] | [['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']] |
||
generation | semeval-2015 | [
"I go twice a month!"
] | [['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 | [
"Fantastic!"
] | [['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 food is good, I can't lie."
] | [['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 | [
"But the staff was so horrible to us."
] | [['staff', '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 | [
"The hostess and the waitress were incredibly rude and did everything they could to rush us out."
] | [['hostess', 'service general', 'negative'], ['waitress', '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 | [
"We were planning to get dessert but the waitress basically through the bill at us before we had a chance to order."
] | [['waitress', '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 | [
"This place is pricey, and yes, the food is worth it; but the service makes you feel like you should be paying a quater of the price."
] | [['place', 'restaurant prices', 'negative'], ['food', 'food quality', 'positive'], ['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 | [
"Save yourself the time and trouble and skip this one!"
] | [['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 | [
"Amma is nothing special."
] | [['Amma', 'restaurant 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 | [
"I ate here a week ago and found most dishes average at best and too expensive."
] | [['dishes', 'food quality', 'negative'], ['dishes', '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 | [
"Will not be back."
] | [['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 | [
"Don't dine at Tamarind for the vegetarian dishes, they are simply not up to par with the non-veg selections."
] | [['vegetarian dishes', 'food quality', 'negative'], ['non-veg selections', '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 | [
"Decor is nice though service can be spotty."
] | [['Decor', 'ambience general', 'positive'], ['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 | [
"This place is always packed."
] | [['place', '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 | [
"Most importantly, food is excellent."
] | [['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 | [
"Try the sea bass."
] | [['sea bass', '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 | [
"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 Dal Bukhara Rocks."
] | [['Dal Bukhara', '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 am happy i did the food was awsome."
] | [['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 | [
"JUST AWSOME."
] | [['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 | [
"and yes Dal Bukhara is so dam good and so are all the kababs."
] | [['kababs', 'food quality', 'positive'], ['Dal Bukhara', '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 | [
"but overall i give it a 10"
] | [['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 | [
"10"
] | [['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 | [
"Haru on Park S is simply disgusting."
] | [['Haru on Park S', '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 | [
"The fish was not fresh and the rice tasted old and stale."
] | [['fish', 'food quality', 'negative'], ['rice', '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 | [
"Quite frankly, this is some of the worst sushi I have ever tried."
] | [['sushi', '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 | [
"Will never be back."
] | [['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 | [
"honestly the worst sushi my husband and i had in our entire lives."
] | [['sushi', '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 | [
"not sure why this restaurant would be rated that highly."
] | [['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 | [
"the all-u-can-eat sushi is definitely in very poor quality."
] | [['all-u-can-eat sushi', '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 | [
"limited menu, no-so-fresh ingredients, thinly-sliced fish, fall-apart rice. "
] | [['menu', 'food style_options', 'negative'], ['ingredients', 'food quality', 'negative'], ['fish', 'food style_options', 'negative'], ['rice', '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 | [
"the only things u could really taste are the very salty soy sauce (even its low sodium), the vinegar-soaked rice, and the scallion on top of the fish. "
] | [['soy sauce', 'food quality', 'negative'], ['rice', '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 waitstaffs are nice though."
] | [['waitstaffs', '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 | [
"wont come back again for sure!"
] | [['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 | [
"I have been to Roth's twice and both times were very disappointing."
] | [["Roth's", '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 | [
"Both times I was extremely dissappointed by the service, which was boarderline rude."
] | [['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 | [
"They wouldnt even let me finish my glass of wine before offering another."
] | [['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']] |
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generation | semeval-2015 | [
"Much of the time it seems like they do not care about you."
] | [['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']] |
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generation | semeval-2015 | [
"The dinner was ok, nothing I would have again."
] | [['dinner', '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']] |
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generation | semeval-2015 | [
"I had their eggs benedict for brunch, which were the worst in my entire life, I tried removing the hollondaise sauce completely that was how failed it was."
] | [['eggs benedict', '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']] |
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generation | semeval-2015 | [
"This was a great surprise."
] | [['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']] |
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generation | semeval-2015 | [
"With the theater 2 blocks away we had a delicious meal in a beautiful room."
] | [['meal', 'food quality', 'positive'], ['room', 'ambience general', 'positive'], ['NULL', 'location 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 service was attentive."
] | [['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 | [
"I look forward to eating here again"
] | [['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']] |
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generation | semeval-2015 | [
"Planet Thai is great!"
] | [['Planet Thai', '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']] |
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generation | semeval-2015 | [
"We love the food, drinks, and atmosphere!"
] | [['food', 'food quality', 'positive'], ['drinks', 'drinks quality', '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']] |
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generation | semeval-2015 | [
"The svc can be a bit rude at times, esp if you have big group, but overall the restaurant is a must!"
] | [['svc', 'service general', 'negative'], ['restaurant', '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']] |
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generation | semeval-2015 | [
"Try the Pad Thai, it's fabulous and their prices are so cheap!"
] | [['Pad Thai', 'food quality', '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']] |
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generation | semeval-2015 | [
"Just because it's cheap does NOT mean the portions are small or the food is nasty, IT IS GREAT!"
] | [['portions', 'food style_options', 'positive'], ['food', 'food quality', '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']] |
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generation | semeval-2015 | [
"They forgot a sandwich, didn't include plastic forks, and didn't include pita with the hummus platter."
] | [['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']] |
Subsets and Splits