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generation | semeval-2015 | [
"I would 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 | [
"I got an excellent piece of cheesecake and we had several other nice pastries."
] | [['cheesecake', 'food quality', 'positive'], ['pastries', '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 would recommend Roxy's for that, but not for their food."
] | [['food', 'food quality', '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']] |
||
generation | semeval-2015 | [
"My son and his girlfriend both wanted cheeseburgers and they were huge!"
] | [['cheeseburgers', 'food style_options', '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 | [
"But, they were too big for the bun."
] | [['NULL', '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 | [
"Consequently, their burgers fell apart in their hands and made such a mess that they did'nt feel like finishing them."
] | [['burgers', '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 | [
"Also they were $15 each!"
] | [['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 | [
"I had a huge pastrami sandwich on a roll."
] | [['pastrami sandwich on a roll', 'food style_options', '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 | [
"It was $14 not really bad for a pound of Pastrami-but it didn't have much taste-I've had better for less elsewhere!"
] | [['NULL', 'food prices', 'neutral'], ['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 | [
"This place is really trendi but they have forgotten about the most important part of a restaurant, the food."
] | [['food', 'food quality', 'negative'], ['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 | [
"The last two times I ordered from here my food was soo spicy that I could barely eat it, and the spice took away from the flavor of the dish."
] | [['food', 'food quality', 'negative'], ['spice', '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 | [
"And the Tom Kha soup was pathetic."
] | [['Tom Kha soup', '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 | [
"If you want good authentic Thai this place is not the place to go."
] | [['Thai', '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 went here for lunch a couple of weeks ago on a Saturday, and I was thoroughly impressed with 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 | [
"The pesto pizza was excellent, thin-crust pizza with a nice amount of spicy Italian cheese that I'd never heard of before."
] | [['pesto pizza', 'food quality', 'positive'], ['spicy Italian cheese', '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 | [
"Conveniently located too, being right on Bedford ave."
] | [['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']] |
||
generation | semeval-2015 | [
"THe back garden sitting area is very pleasant, where you can see their personal herb garden."
] | [['back garden sitting 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 | [
"I will definetly be going 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 | [
"We had the lobster sandwich and it was FANTASTIC."
] | [['lobster sandwich', '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 husband said he could've eaten several more, the portion was fine for me he even exclaimed that the french fries were the best he has had."
] | [['NULL', 'food style_options', 'negative'], ['portion', 'food style_options', 'positive'], ['french fries', '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 had the scallops as an appetizer and they were delicious and the sauce was wonderful."
] | [['scallops', 'food quality', 'positive'], ['sauce', '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 waited at the bar and had martinis that were just right."
] | [['martinis', '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 | [
"We will be 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 | [
"love 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 | [
"it's the only place you can get yummy authentic japanese comfort food."
] | [['japanese comfort 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 you can't beat the prices."
] | [['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 | [
"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 | [
"I've lived in NY for 5 years and this place has it all."
] | [['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 | [
"Great food, good size menu, great service and an unpretensious setting."
] | [['food', 'food quality', 'positive'], ['menu', 'food style_options', 'positive'], ['service', 'service general', 'positive'], ['setting', '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 dishes offered were unique, very tasty and fresh from the lamb sausages, sardines with biscuits, large whole shrimp to the amazing pistachio ice cream (the best and freshest I've ever had)."
] | [['dishes', 'food quality', 'positive'], ['lamb sausages', 'food quality', 'positive'], ['sardines with biscuits', 'food quality', 'positive'], ['large whole shrimp', 'food quality', 'positive'], ['pistachio ice cream', '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'm glad I was introduced to this place and this is a rare gem in NY."
] | [['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 freshest, best variety, and the fastest delivery."
] | [['NULL', 'food quality', 'positive'], ['NULL', 'food style_options', 'positive'], ['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']] |
||
generation | semeval-2015 | [
"Also very inexpensive."
] | [['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 | [
"A great choice at any cost and a great deal."
] | [['NULL', 'restaurant 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 service was excellent and the food was delicious."
] | [['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 are very particular about sushi and were both please with every choice which included: ceviche mix (special), crab dumplings, assorted sashimi, sushi and rolls, two types of sake, and the banana tempura."
] | [['sushi', 'food quality', 'positive'], ['ceviche mix (special)', 'food quality', 'positive'], ['crab dumplings', 'food quality', 'positive'], ['assorted sashimi', 'food quality', 'positive'], ['sushi', 'food quality', 'positive'], ['rolls', 'food quality', 'positive'], ['two types of sake', 'drinks quality', 'positive'], ['banana tempura', '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 | [
"Definitely a great spot for a nice occasion or date."
] | [['spot', '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 | [
"Average to good Thai food, but terrible delivery."
] | [['Thai food', 'food quality', 'positive'], ['delivery', '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 | [
"I've waited over one hour for food."
] | [['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 | [
"They were very abrupt with me when I called and actually claimed the food was late because they were out of rice."
] | [['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 | [
"A Thai restaurant out of rice during dinner?"
] | [['Thai restaurant', 'restaurant miscellaneous', '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 food arrived 20 minutes after I called, cold and soggy."
] | [['food', 'food quality', 'negative'], ['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 | [
"This is a wonderful place on all stand points especially value ofr money."
] | [['place', 'restaurant prices', 'positive'], ['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 | [
"An excellent 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 | [
"We were greeted promptly by the waiter who was very nice and cordial."
] | [['waiter', '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 | [
"She was very helpful in suggesting us drinks and helped us in ordering a lot of good dishes since we knew nothing about Indian food."
] | [['NULL', 'service general', 'positive'], ['dishes', '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 food looked very appetizing and delicious since it came on a variety of fancy plates."
] | [['food', '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 | [
"We ended our great experience by having Gulab Jamun (dessert) recommended by the waiter."
] | [['Gulab Jamun (dessert)', '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 thanked my friend who recommended me this restaurant and will certainly recommend it to others."
] | [['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 | [
"Service here was great, food was fantastic."
] | [['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 | [
"Guacamole+shrimp appetizer was really great, we both had the filet, very good, didn't much like the frites that came with, but the filet was so good, neither of us cared."
] | [['Guacamole+shrimp appetizer', 'food quality', 'positive'], ['filet', 'food quality', 'positive'], ['frites', '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 absolutely visit 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']] |
||
generation | semeval-2015 | [
"You cannot go wrong with this place."
] | [['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 food is outstanding and the service is quick, friendly and very professional."
] | [['food', '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']] |
||
generation | semeval-2015 | [
"Always a nice crowd, but never loud."
] | [['crowd', 'restaurant miscellaneous', 'positive'], ['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 | [
"Go here."
] | [['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 | [
"Good for dates or with friends."
] | [['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 | [
"I am reluctant to write because I would not want my jem of a pizza place to become overcrowded."
] | [['pizza 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 | [
"However, it is jus too good to not praise 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 | [
"By far, the best pizza in Manhattan."
] | [['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 | [
"The crust is thin, the ingredients are fresh and the staff is friendly."
] | [['crust', 'food quality', 'positive'], ['staff', 'service general', 'positive'], ['ingredients', '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 menu has so many fish items and oysters."
] | [['menu', '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 fish was really,really fresh."
] | [['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 | [
"We all agreed that mare is one of the best seafood restaurants in New York."
] | [['mare', '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 stumbled upon this great pizzeria as I explored my new neighborhood."
] | [['pizzeria', '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 | [
"All of the pizzas are terrific and the price is even better!"
] | [['pizzas', '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']] |
||
generation | semeval-2015 | [
"I highly recommend the Sophia pizza."
] | [['Sophia 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's to die for!"
] | [['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 food was mediocre at best but it was the horrible service that made me vow never to go back."
] | [['food', 'food quality', 'negative'], ['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 | [
"Immediately after we paid, the waiter took the money and said, okay, you guys are outta here."
] | [['waiter', '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 | [
"So rushing us out was absolutely unnecessary!"
] | [['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 | [
"For the people who want great food plus great service, Roxy is a place to AVOID!"
] | [['food', 'food quality', 'negative'], ['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 | [
"The first time the sushi was outstanding, the second time it was a little bland."
] | [['sushi', 'food quality', 'positive'], ['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 | [
"I'm sure I'll return for a final judgement tho."
] | [['NULL', '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 | [
"The blond wood decor is very soothing, the premium sake is excellent and the service is great."
] | [['blond wood decor', 'ambience general', 'positive'], ['premium sake', '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 | [
"Mizu is the Japenese find in Grammercy."
] | [['Mizu', '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 | [
"While their kitchen food is delicious, their Sushi is out of this world."
] | [['kitchen food', 'food quality', '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']] |
||
generation | semeval-2015 | [
"Mizu is home to creative and unique rolls not to found anywhere else."
] | [['rolls', '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 | [
"Not only is the cuisine the best around, the service has always been attentive and charming."
] | [['cuisine', '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']] |
||
generation | semeval-2015 | [
"Warning: You may find it difficult to dine at other Japanese restaurants after a visit to Mizu!"
] | [['Mizu', '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 | [
"Thalia is a beautiful restaurant with beautiful people serving you, but the food doesn't quite match up."
] | [['people', 'service general', 'positive'], ['food', 'food quality', 'negative'], ['Thalia', '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 ordered the smoked salmon and roe appetizer and it was off flavor."
] | [['smoked salmon and roe appetizer', '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 entree was bland and small, dessert was not inspired."
] | [['entree', 'food quality', 'negative'], ['entree', 'food style_options', 'negative'], ['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 | [
"I expected quite a bit more from such an expensive menu."
] | [['menu', 'food prices', 'negative'], ['menu', '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 view is spectacular, and the food is great."
] | [['view', 'location 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 | [
"Wonderful strawberry daiquiries as well!"
] | [['strawberry daiquiries', '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 | [
"Definitely worth the trip to Battery Park 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']] |
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generation | semeval-2015 | [
"One of my favorite places in Manhattan."
] | [['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 | [
"Authentic Taiwanese food that's cheap... what more could you ask for?"
] | [['Taiwanese food', 'food quality', 'positive'], ['Taiwanese food', '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']] |
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generation | semeval-2015 | [
"(Besides that there should be more restaurants like it around 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']] |
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generation | semeval-2015 | [
"The cold appetizer dishes taste like the way I remember them to taste when I was growing up in Taiwan."
] | [['cold appetizer dishes', '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 | [
"delicious simple food in nice outdoor atmosphere."
] | [['food', 'food quality', 'positive'], ['food', 'food style_options', 'positive'], ['outdoor 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 | [
"Kind, attentive wait staff."
] | [['wait 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']] |
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generation | semeval-2015 | [
"I really like both the scallops and the mahi mahi (on saffron risotto-yum!)."
] | [['scallops', 'food quality', 'positive'], ['mahi mahi (on saffron risotto', '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 | [
"My friend devoured her chicken and mashed potatos."
] | [['chicken and mashed potatos', '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 | [
"Delicious crab cakes too."
] | [['crab cakes', '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 | [
"Even if the food wasn't this good, the garden is a great place to sit outside and relax."
] | [['garden', 'ambience 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']] |
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generation | semeval-2015 | [
"Great neighborhood joint."
] | [['joint', '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 | [
"This is a nice pizza place with good selection of thin crust pizza including the Basil slice."
] | [['selection of thin crust pizza', 'food style_options', 'positive'], ['selection of thin crust pizza', 'food quality', 'positive'], ['pizza place', 'restaurant general', 'positive'], ['Basil slice', '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 | [
"Their calzones are horrific, bad, vomit-inducing, YUCK."
] | [['calzones', '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']] |
Subsets and Splits