task_type
stringclasses 1
value | dataset
stringclasses 1
value | input
sequence | output
stringlengths 27
371
| situation
stringclasses 1
value | label
stringclasses 1
value | extra
stringclasses 1
value | instruction
stringclasses 2
values |
---|---|---|---|---|---|---|---|
generation | semeval-2015 | [
"I highly recommend visiting this restaurant and having dinner and drinks!"
] | [['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 | [
"If you are the type of person who likes being scared and entertained, this is a great place to go and eat."
] | [['place', 'restaurant miscellaneous', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, 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 and I thougt it would be great to go to the Jekyll and Hyde Pub for our anniversary, and to our surprise it was fantastic."
] | [['Jekyll and Hyde Pub', '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 have over 100 different beers to offer thier guest so that made my husband very happy and the food was delicious, if I must recommend a dish it must be the pumkin tortelini."
] | [['beers', 'drinks style_options', 'positive'], ['food', 'food quality', 'positive'], ['pumkin tortelini', '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 entertainment was great they have shows that go on through out the dinner."
] | [['entertainment', 'ambience general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Please take my advice, go and try 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 | [
"You will not be disapointed at 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 | [
"We were not dissappointed in the least bit by this little gem."
] | [['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 bagel was huge."
] | [['bagel', '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 | [
"They were served warm and had a soft fluffy interior."
] | [['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 workers there also absolutely load the bagel with cream cheese (gets a little messy)."
] | [['bagel', '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 | [
"I loved it and would HIGHLY RECOMMEND."
] | [['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 | [
"This was my frist time at Cafe St. Bart's and I must say how delicous the food and the service was."
] | [['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 | [
"I have to highly recommend the lobster roll - not to much mayo; you can tell it was a fresh lobster."
] | [['lobster roll', 'food quality', 'positive'], ['lobster', '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 | [
"Other guests enjoyed pizza, santa fe chopped salad and fish and chips."
] | [['pizza', 'food quality', 'positive'], ['santa fe chopped salad', 'food quality', 'positive'], ['fish and chips', '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 highly recommend Cafe St. Bart's for their food, the ambience and wonderful service."
] | [['food', 'food quality', 'positive'], ['ambience', 'ambience general', '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 | [
"All the staff is absolutely professional!! "
] | [['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 | [
"(that is A MUST, but not every restaurant can do...) "
] | [['NULL', 'service general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"There's nice and quiet, small but enough for 6 (or more)."
] | [['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 | [
"This restaurant was way overhyped."
] | [['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 | [
"My chow fun and chow see was really bland and oily."
] | [['chow fun and chow see', '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 | [
"Okay-i don't mind the oily part (cause most are cooked that way) but it was way too bland."
] | [['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 | [
"The scallion pancakes and fried dumplings were nothing out of the ordinary."
] | [['scallion pancakes', 'food quality', 'neutral'], ['fried dumplings', '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 service was the only thing good about this restaurant."
] | [['service', 'service general', 'positive'], ['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 | [
"It's boring on the inside, and our sushi was pretty below average... the tuna was soggy and the other rolls had no flavor."
] | [['NULL', 'ambience general', 'negative'], ['sushi', 'food quality', 'negative'], ['tuna', 'food quality', 'negative'], ['rolls', '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 definitely wouldn't go 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 | [
"Their pad penang is delicious and everything else is fantastic."
] | [['pad penang', '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 | [
"The price is reasonable although the service is poor."
] | [['NULL', 'restaurant prices', '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 | [
"fresh restaurant was amazing........ food was delicious and of course fresh."
] | [['fresh restaurant', 'restaurant 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 | [
"great for a romantic evening, or a fun evening with friends..."
] | [['NULL', 'ambience general', 'positive'], ['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 will be going back very soon."
] | [['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 | [
"keep up the good work."
] | [['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 | [
"Hats off to the chef."
] | [['chef', 'food quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"It was wonderful."
] | [['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 salads are delicious, both refreshing and very spicy."
] | [['salads', '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 Pam's special fried fish and it was amazing."
] | [["Pam's special fried 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 | [
"too large for just two people but nothing was left."
] | [['NULL', 'food style_options', '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 | [
"Great vibe, lots of people."
] | [['vibe', 'ambience general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"My husbands was perfect, my was well done and dry."
] | [['NULL', 'food quality', 'positive'], ['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 | [
"I didn't complain, I liked the atmosphere so much."
] | [['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 | [
"On a hot day it was fabulous to stop in and enjoy lunch."
] | [['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 | [
"Ambience is so cute and quaint, good for business although we were there on vacation."
] | [['Ambience', 'ambience general', 'positive'], ['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 | [
"Salads were fantastic."
] | [['Salads', '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 we were looking for regular lettuce and some walnuts the salads we got were great."
] | [['salads', '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 | [
"Ingredients are organic which is a real plus for me."
] | [['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 | [
"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 | [
"This is some really good, inexpensive sushi."
] | [['sushi', 'food quality', 'positive'], ['sushi', 'food prices', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"The spicy Tuna roll is huge and probably the best that I've had at this price range."
] | [['spicy Tuna roll', 'food style_options', 'positive'], ['spicy Tuna roll', 'food quality', 'positive'], ['spicy Tuna roll', 'food prices', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"The Yellowtail was particularly good as well."
] | [['Yellowtail', '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 have reservations about the all you can eat deal, however -- the choices are fairly limited and you can probably order more food than you can eat for less than $18 by just going off the menu."
] | [['all you can eat deal', 'food style_options', 'negative'], ['all you can eat deal', '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 | [
"In any event, this is a place I'll be sure to stop by again when I'm in this part of town."
] | [['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 | [
"Big Wong gets big Ups for a fine establishment."
] | [['Big Wong', '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 | [
"They have it all -- great price, food, and service."
] | [['NULL', 'restaurant general', 'positive'], ['NULL', 'restaurant prices', 'positive'], ['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 | [
"The atmosphere is noisy and the waiters are literally walking around doing things as fast as they can."
] | [['atmosphere', 'ambience general', 'negative'], ['waiters', '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 food is prepared quickly and efficiently."
] | [['NULL', 'service general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"And it all comes at a very reasonable price (congee, noodles, and rice dishes are no more than $3-6 each)."
] | [['NULL', 'food prices', 'positive'], ['congee', 'food prices', 'positive'], ['noodles', 'food prices', 'positive'], ['rice dishes', 'food prices', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"The takeout is great too since they give high quality tupperware as well."
] | [['takeout', '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 | [
"This place is always very crowded and popular."
] | [['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 | [
"Enjoyed a very nice Caesar Salad while my wife had arugula and goat cheese....both very tasty."
] | [['Caesar Salad', 'food quality', 'positive'], ['arugula and goat 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 | [
"We both opted for a pasta dish and they were served timely and fresh."
] | [['NULL', 'service general', 'positive'], ['pasta dish', '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 concluded with tiramisu chocolate cake, both were delicious."
] | [['tiramisu chocolate cake', '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'd go back 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 | [
"I recently went to this restaurant with some co-workers for lunch and had an amazing time."
] | [['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 | [
"The staff was accomodating, the food was absolutely delicious and the place is lovely."
] | [['staff', 'service general', 'positive'], ['food', 'food quality', 'positive'], ['place', 'ambience general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"We even had a visit from the Manager who wanted to make sure we were enjoying ourselves."
] | [['Manager', '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 | [
"Yes, the prices are high, but I felt it was worth it."
] | [['NULL', 'restaurant prices', 'negative'], ['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 all felt it was worth 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 | [
"sometimes i get good food and ok service."
] | [['food', 'food quality', 'positive'], ['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 | [
"sometimes i get bad food and bad service, sometimes i get good good and bad service."
] | [['food', 'food quality', 'negative'], ['service', 'service general', 'negative'], ['service', 'service general', 'negative'], ['good', 'food quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"it is not consistent."
] | [['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 | [
"The place is a BISTRO which means: simple dishes and wine served efficiently in a bustling atmosphere."
] | [['dishes', 'food style_options', 'positive'], ['wine', 'drinks style_options', 'positive'], ['NULL', 'service general', 'positive'], ['atmosphere', 'ambience general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"And where does Patis go wrong; no where. "
] | [['Patis', '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 are not eating haut cuisine with subtle hints of whatever but: Cassuolet, Steake Fritte, Tripe Stew, etc; simple stuff."
] | [['NULL', 'food style_options', '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 | [
"And evaluated on those terms Pastis is simply wonderful."
] | [['Pastis', '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 | [
"Right off the L in Brooklyn this is a nice cozy place with good pizza."
] | [['pizza', 'food quality', 'positive'], ['place', 'ambience general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Mine was a little burnt but still delicious with goat cheese and panchetta (raddichio was kind of bitter though)."
] | [['raddichio', '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 friend got the mushroom pizza which tasted better."
] | [['mushroom 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 sangria was pretty tasty and good on a hot muggy day."
] | [['sangria', '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 | [
"Kind of a small place but I guess if they are not too busy might be able to fit a group or kids."
] | [['place', 'restaurant miscellaneous', 'neutral']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Overall I would recommend it and go back 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 | [
"I started out with a Bombay beer which was big enough for two."
] | [['Bombay beer', '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 | [
"MMmmm... it was delicious."
] | [['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 | [
"Service was slow, but the people were friendly."
] | [['Service', 'service general', 'negative'], ['people', '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 | [
"It's a nice place to relax and have conversation."
] | [['place', 'ambience general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"I can't wait to 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 | [
"The food is authentic Italian - delicious!"
] | [['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 | [
"Pizza is terrific, as is homemade pasta."
] | [['Pizza', 'food quality', 'positive'], ['homemade pasta', '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 | [
"Ambience is delightful, service impeccable."
] | [['Ambience', 'ambience general', '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 | [
"I'm still mad that i had to pay for lousy 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 | [
"The hanger steak was like rubber and the tuna was flavorless not to mention it tasted like it had just been thawed."
] | [['hanger steak', 'food quality', 'negative'], ['tuna', '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 | [
"Service was also horrible and the ambience is not that great."
] | [['Service', 'service general', 'negative'], ['ambience', '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 | [
"DO not try unless you're just going there to hang out like the rest of the hipsters who apparently have no sense of taste."
] | [['NULL', '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 | [
"I go and eat out at many different restaurants and this is one place you have go and try."
] | [['place', 'restaurant general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"This is my first time writing a review for a restaurant because the food and service was excellent."
] | [['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 | [
"The filet mignon dish was superb!"
] | [['filet mignon dish', '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 defiantly come back here again as one of my top choices."
] | [['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 | [
"It's a small cute restaurant."
] | [['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 absolutely love 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 | [
"I like the ambience, it's very dark and original."
] | [['ambience', '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 sushi is amazing!!! "
] | [['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']] |
Subsets and Splits