task_type stringclasses 1 value | dataset stringclasses 1 value | input list | output stringlengths 28 294 | situation stringclasses 1 value | label stringclasses 1 value | extra stringclasses 1 value | instruction stringclasses 1 value |
|---|---|---|---|---|---|---|---|
generation | aste-data-v2 | [
"Restaurant snobs need not bother , this is a small , neighborhood kind of place ."
] | [['place', 'small', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"They could n't even make a salad that was appealing ."
] | [['salad', 'appealing', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Of course the reason its so packed is because the food is so delicious !"
] | [['food', 'delicious', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Staffs are not that friendly , but the taste covers all ."
] | [['Staffs', 'not that friendly', 'negative'], ['taste', 'covers all', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The waiter was attentive ."
] | [['waiter', 'attentive', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Their Margarita is best I 've had since I 've returned from Naples !"
] | [['Margarita', 'best', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Their sake list was extensive , but we were looking for Purple Haze , which was n't listed but made for us upon request !"
] | [['sake list', 'extensive', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The tables are crammed way too close , the menu is typical of any Italian restaurant , and the wine list is simply overpriced ."
] | [['tables', 'crammed', 'negative'], ['tables', 'too close', 'negative'], ['menu', 'typical', 'neutral'], ['wine list', 'overpriced', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The food was actually awful ."
] | [['food', 'awful', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"They are served with a free appetizer and the portions are perfect for lunch ."
] | [['appetizer', 'free', 'positive'], ['portions', 'perfect', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"There is actually space to breathe and the decor sets the tone for an intimate dinner ."
] | [['dinner', 'intimate', 'neutral']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"We went around 9:30 on a Friday and it had died down a bit by then so the service was great !"
] | [['service', 'great', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"My husband and I both ordered the Steak , medium ."
] | [['Steak', 'medium', 'neutral']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"This place has realy fresh sushi and a nice large menu of Japanese classic cuisine ."
] | [['sushi', 'fresh', 'positive'], ['menu', 'large', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The sushi is average and the prices are anything but ."
] | [['sushi', 'average', 'neutral']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"My wife and I also enjoyed the spinach , the Shanghai low mein , and other attractions ."
] | [['spinach', 'enjoyed', 'positive'], ['Shanghai low mein', 'enjoyed', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Turned out there was full service upstairs and sat down ."
] | [['service', 'full', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"If you have a dumpling fetish i suggest you try some here !"
] | [['dumpling', 'try', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The food is consistently wonderful - I 've been coming here for years , and the owner has always been accomodating and friendly ."
] | [['food', 'wonderful', 'positive'], ['owner', 'accomodating', 'positive'], ['owner', 'friendly', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The waiters and owners were nonchalant about this and promised to call the exterminator but were n't as dismayed or apologetic as I would have expected ."
] | [['waiters', 'nonchalant', 'negative'], ['owners', 'nonchalant', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"And the food was fantastic ."
] | [['food', 'fantastic', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Aside from the Sea Urchin , the chef recommended an assortment of fish including Fatty Yellow Tail , Boton Shrimp , Blue Fin Torro ( Fatty Tuna ) , Sea Eel , etc ."
] | [['assortment of fish', 'recommended', 'neutral'], ['Fatty Yellow Tail', 'recommended', 'neutral'], ['Boton Shrimp', 'recommended', 'neutral'], ['Sea Eel', 'recommended', 'neutral'], ['Sea Urchin', 'recommended', 'neutral'], ['Blue Fin Torro ( Fatty Tuna )', 'recommended', 'neutral']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"They 're also friendlier here , especially the owner , Kenny ."
] | [['owner', 'friendlier', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"While the room is not particularly comfortable , once you 're seated you 'll forget about everything except what 's on your plate ."
] | [['room', 'not particularly comfortable', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The ambiance is minimal the food is not phenomenal , but some dishes are quite good , such as the eggplant parmesan , veal in carozza chicken saltimbocca ."
] | [['ambiance', 'minimal', 'positive'], ['food', 'not phenomenal', 'negative'], ['dishes', 'good', 'positive'], ['eggplant parmesan', 'good', 'positive'], ['veal in carozza chicken saltimbocca', 'good', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The bar has various selections and the mixed drink special is a catcher ! 2 for 1 's ."
] | [['bar', 'various', 'positive'], ['mixed drink special', 'catcher', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"During the course of the past 3 months , the chef and staff changed and it was not for the better ."
] | [['chef', 'changed', 'negative'], ['staff', 'changed', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"I like the ambience , it 's very dark and original ."
] | [['ambience', 'like', 'positive'], ['ambience', 'dark', 'positive'], ['ambience', 'original', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Overall , not worth the money ."
] | [['money', 'not worth', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"This place is not worth the prices ."
] | [['prices', 'not worth', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Pick a bagel has the best bagels in the city ."
] | [['bagels', 'best', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Yes you have to wait to be seated and because its small there is no waiting area and the seat at the bar was all taken ."
] | [['waiting area', 'no', 'negative'], ['seat', 'all taken', 'negative'], ['bar', 'small', 'neutral']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"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', 'spicy', 'negative'], ['dish', 'barely', 'negative'], ['spice', 'took away', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The fried dumplings are GREAT !"
] | [['fried dumplings', 'GREAT', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"We figured we never had Argentinian Pizza before so we grabbed our lunch there , sharing a large Pelligrino , a pizza of two of their specials , one was goat cheese the other blue cheese , and both were excellent ."
] | [['Pelligrino', 'large', 'positive'], ['goat cheese', 'excellent', 'positive'], ['blue cheese', 'excellent', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The ' kamasutra ' and ' bombay cosmopolitan ' are excellent and will have you tipsy in no time ."
] | [['kamasutra', 'excellent', 'positive'], ['bombay cosmopolitan', 'excellent', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"This is the perfect date spot for Williamsburg couples ."
] | [['date spot', 'perfect', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The dim sum here is only so-so ."
] | [['dim sum', 'so-so', 'neutral']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Service was slow , but the people were friendly ."
] | [['Service', 'slow', 'negative'], ['people', 'friendly', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The steak was very fatty and the sauce was overpowering and not very tasty ."
] | [['steak', 'fatty', 'negative'], ['sauce', 'overpowering', 'negative'], ['sauce', 'not very tasty', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The staff makes you feel at home , the food is great and the atmosphere is WONDERFUL !"
] | [['staff', 'great', 'positive'], ['food', 'great', 'positive'], ['atmosphere', 'great', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The food is alright - some stuff is good - some is not ( like the steak dish which tends to be dry ) ."
] | [['steak dish', 'dry', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"They have a very diverse menu so its something for everybody ."
] | [['menu', 'diverse', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The staff was too busy ordering sushi for dinner and then laying it out to eat on the bar to even bring me my check ."
] | [['staff', 'busy', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The bagel was huge ."
] | [['bagel', 'huge', 'neutral']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The staff has been nice , but they seemed really stressed and the unisex bathroom needs to be cleaned more often ."
] | [['bathroom', 'needs to be cleaned', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The service was the only thing good about this restaurant ."
] | [['service', 'good', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Service -- friendly and attentive ."
] | [['Service', 'friendly', 'positive'], ['Service', 'attentive', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Great food , great decor , great service ."
] | [['food', 'Great', 'positive'], ['decor', 'great', 'positive'], ['service', 'great', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"And , atlhough tables opened up next to us and we ASKED for a slightly larger space , they left us awkardly seated ."
] | [['space', 'larger', 'neutral']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The palak paneer was standard , and I was not a fan of the malai kofta ."
] | [['palak paneer', 'standard', 'neutral']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"I 've dined at Alain Ducasse 's restaurant in Monte Carlo for half the price for the same excellent dining experience ."
] | [['dining', 'excellent', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"There was no ambiance ."
] | [['ambiance', 'no', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Save your money and do n't waste your calories , go to Margharita 's on Washington Street instead , they have amazing food and the BEST service ."
] | [['food', 'amazing', 'positive'], ['service', 'BEST', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The only weird thing was if we got a bottle , the waitress would have simply multiplied the glass price X4 , which makes no sense whatsoever ."
] | [['waitress', 'weird', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"They sell special sushi , everything have a topping , sauce and etc ."
] | [['sushi', 'special', 'positive'], ['sauce', 'special', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The place is small and intimate and you may feel a little crowded , but the service is excellent and it 's great for friends out , a romantic date , or a special occassion ."
] | [['service', 'excellent', 'positive'], ['place', 'small', 'negative'], ['place', 'intimate', 'negative'], ['place', 'crowded', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The service was excellent and the food was delicious ."
] | [['service', 'excellent', 'positive'], ['food', 'delicious', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Service was also very good ."
] | [['Service', 'good', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"I took my girlfriend there for her birthday last night and we had a relaxing , really good meal ."
] | [['meal', 'relaxing', 'positive'], ['meal', 'good', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"I 'm happy to have Nosh in the neighborhood and the food is very comforting ."
] | [['food', 'comforting', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Good atmosphere , combination of all the hottest music dress code is relatively strict except on Fridays ."
] | [['atmosphere', 'Good', 'positive'], ['music', 'hottest', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"love the food ."
] | [['food', 'love', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"I would highly recommend Nina 's to anyone who wants to have a romantic dinner in a heart warming surrounding filled with candles and family pictures ."
] | [['dinner', 'romantic', 'positive'], ['surrounding', 'heart warming', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"There 's something smooth about sipping sake upper east side style ."
] | [['sake', 'smooth', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"It 's a nice place to relax and have conversation ."
] | [['place', 'nice', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Best Reuben sandwich ever !"
] | [['Reuben sandwich', 'Best', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Lucky Strike is a great casual place to just grab a bite to eat ."
] | [['place', 'great casual', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Going to Volare is like going to your favorite aunt 's house for dinner , assuming that your aunt is a great Italian cook ."
] | [['dinner', 'great', 'neutral']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The sushi has been from average to below average , the wait service has always been subpar the atmosphere goes from nice to really irritating ( if you sit in the area beyond the kitchen , the acousitcs are horrid , everything echoes is extremely loud ) ."
] | [['sushi', 'below average', 'negative'], ['wait service', 'subpar', 'negative'], ['area', 'loud', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Frites were delicious if a bit on the thick side ."
] | [['Frites', 'delicious', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"I would recommend putting your name down and then getting a drink at a local bar first though because of the wait time ."
] | [['drink', 'recommend', 'neutral'], ['bar', 'recommend', 'neutral']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"I fell in love with the egg noodles in the beef broth with shrimp dumplings and slices of BBQ roast pork ."
] | [['egg noodles in the beef broth with shrimp dumplings and slices of BBQ roast pork', 'love', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Overall , the best bagel in town ."
] | [['bagel', 'best', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Light , refreshing summer rolls ( not fried ) remind me of Vietnamese places in Paris ."
] | [['summer rolls', 'refreshing', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The sushi seemed pretty fresh and was adequately proportioned ."
] | [['sushi', 'fresh', 'positive'], ['sushi', 'proportioned', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"but the service was a bit slow ."
] | [['service', 'slow', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Spreads and toppings are great - though a bit pricey ."
] | [['Spreads', 'great', 'positive'], ['Spreads', 'pricey', 'positive'], ['toppings', 'great', 'positive'], ['toppings', 'pricey', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Indoor was very cozy and cute ."
] | [['Indoor', 'cozy', 'positive'], ['Indoor', 'cute', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"We had a 3 hour brunch- they definitely do not rush you- and they kept the unlimited mimosas flowing the whole time ."
] | [['mimosas', 'unlimited', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The service was excellent , the food was excellent , but the entire experience was very cool ."
] | [['service', 'excellent', 'positive'], ['food', 'excellent', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The service is good and the resturant is clean ."
] | [['service', 'good', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The cafe itself was really nice with comfortable outdoor chairs and tables , but the service could have been better ."
] | [['cafe', 'nice', 'positive'], ['outdoor chairs', 'comfortable', 'positive'], ['tables', 'comfortable', 'positive'], ['service', 'better', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"I 've rarely had a problem with slow staff in the 10 years I 've been going ."
] | [['staff', 'slow', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Food is excellent ."
] | [['Food', 'excellent', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Although we were looking for regular lettuce and some walnuts the salads we got were great ."
] | [['salads', 'great', 'positive'], ['lettuce', 'great', 'neutral'], ['walnuts', 'great', 'neutral']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Excellent lunch buffet for only $ 6.95 ."
] | [['lunch buffet', 'Excellent', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Ambience is so cute and quaint , good for business although we were there on vacation ."
] | [['Ambience', 'cute', 'positive'], ['Ambience', 'quaint', 'positive'], ['Ambience', 'good', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The portion sizes here are huge , and the sushi is good ."
] | [['portion sizes', 'huge', 'positive'], ['sushi', 'good', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Good food at the restaurant ( a bit expensive , but great if you want to impress your date ) ."
] | [['food', 'Good', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"I highly recommend Caviar Russe to anyone who wants delicious top grade caviar and fantastic service ."
] | [['caviar', 'delicious top grade', 'positive'], ['service', 'fantastic', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"I have eaten there 3-4 times and the food was always good ."
] | [['food', 'good', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Grilled whole fish wonderful , great spicing ."
] | [['fish', 'wonderful', 'positive'], ['fish', 'great', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"For years , I thought Tuscan cuisine was the best , but Salvatore converted me to the hearty Neapolitan fare on my first visit ."
] | [['Neapolitan fare', 'hearty', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The service was great as well ."
] | [['service', 'great', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Another plus is most of the entrees are approx ."
] | [['entrees', 'plus', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"From the moment we walked in they were more than accomodating even though the place was packed ."
] | [['place', 'packed', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"I found the food , service and value exceptional everytime I have been there ."
] | [['food', 'exceptional', 'positive'], ['service', 'exceptional', 'positive'], ['value', 'exceptional', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"We ate at this Thai place following the reviews but very unhappy with the foods ."
] | [['foods', 'unhappy', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The food is definitely good , but I left a bit disappointed ."
] | [['food', 'good', 'positive'], ['food', 'disappointed', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
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