task_type
stringclasses 1
value | dataset
stringclasses 1
value | input
sequence | output
stringlengths 14
75
| situation
stringclasses 1
value | label
stringclasses 1
value | extra
stringclasses 1
value | instruct
stringclasses 1
value |
---|---|---|---|---|---|---|---|
generation | towe | [
"We 've been following chef Lyle 's food around New York for 15 years and while remaining classic , his innovations with bistro fare have made us return and return ."
] | ['bistro', ['innovations']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"We 've been following chef Lyle 's food around New York for 15 years and while remaining classic , his innovations with bistro fare have made us return and return ."
] | ['food', ['classic']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"The best thing I tasted were the lambchops ."
] | ['lambchops', ['best']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"The spicy tuna and salmon are the best we 've ever had ."
] | ['spicy', ['best']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"The spicy tuna and salmon are the best we 've ever had ."
] | ['salmon', ['best']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Even though its good seafood , the prices are too high ."
] | ['seafood', ['good']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Even though its good seafood , the prices are too high ."
] | ['prices', ['high']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"In addition , the food is very good and the prices are reasonable ."
] | ['food', ['good']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"In addition , the food is very good and the prices are reasonable ."
] | ['prices', ['reasonable']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Upon entering , we were greeted by the owners , Steven and Frederick , who went out of their way to be more than gracious hosts ."
] | ['hosts', ['gracious']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Been going here since it opened have seen the quality value decrease considerably ."
] | ['quality', ['decrease']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Meat dishes now adorn the selections , although there 's still a large number of vegetarian-friendly choices ."
] | ['vegetarian-friendly', ['large']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Reasonable prices ."
] | ['prices', ['Reasonable']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"they bring service up a notch by offerng complementary amuse bouche to all tables and gave us a small dessert for our celebration ."
] | ['amuse', ['complementary']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"they bring service up a notch by offerng complementary amuse bouche to all tables and gave us a small dessert for our celebration ."
] | ['dessert', ['small']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Try the crunchy tuna , it is to die for ."
] | ['crunchy', ['Try', 'die']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"All in all , this midtown gem instantly became one of my favorite sushi restaurants in the city ."
] | ['sushi', ['favorite']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"It is a lot of fun with live entertainment and all kinds of Disney type special effects ."
] | ['live', ['fun']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"It is a lot of fun with live entertainment and all kinds of Disney type special effects ."
] | ['special', ['fun']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"if you 're looking for perfect traditional sushi , go here - if you 're looking for interesting combinations , try Sushi of gari 's ( east side ) ."
] | ['sushi', ['perfect']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"if you 're looking for perfect traditional sushi , go here - if you 're looking for interesting combinations , try Sushi of gari 's ( east side ) ."
] | ['Sushi', ['interesting']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Be careful of portions - they 're HUGE ."
] | ['portions', ['HUGE']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"The Steak Tartare is a great bet , they fix it for you at the table ."
] | ['Steak', ['great']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Great for large groups and celebrations - our SUPER HAPPY waiter was the entertainment of the evening ."
] | ['waiter', ['SUPER']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Plus , on Wednesday nights the house wine is unlimited !"
] | ['house', ['unlimited']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"The dim sum servings here are a bit larger than I 'm used to ."
] | ['dim', ['larger']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"However , in the summer of 2003 , it seems the management has changed and the great big door has been replaced for a glass front ridding itself of the dark romantic getup ."
] | ['management', ['changed']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"However , in the summer of 2003 , it seems the management has changed and the great big door has been replaced for a glass front ridding itself of the dark romantic getup ."
] | ['door', ['great']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"We wo n't go to this place again for a good meal ."
] | ['meal', ['good']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Barbecued codfish was gorgeously moist - as if poached - yet the fabulous texture was let down by curiously bland seasoning - a spice rub might have overwhelmed , however herb mix or other sauce would have done much to enhance ."
] | ['Barbecued', ['moist']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Barbecued codfish was gorgeously moist - as if poached - yet the fabulous texture was let down by curiously bland seasoning - a spice rub might have overwhelmed , however herb mix or other sauce would have done much to enhance ."
] | ['seasoning', ['bland']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Barbecued codfish was gorgeously moist - as if poached - yet the fabulous texture was let down by curiously bland seasoning - a spice rub might have overwhelmed , however herb mix or other sauce would have done much to enhance ."
] | ['texture', ['fabulous']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Barbecued codfish was gorgeously moist - as if poached - yet the fabulous texture was let down by curiously bland seasoning - a spice rub might have overwhelmed , however herb mix or other sauce would have done much to enhance ."
] | ['spice', ['overwhelmed']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Barbecued codfish was gorgeously moist - as if poached - yet the fabulous texture was let down by curiously bland seasoning - a spice rub might have overwhelmed , however herb mix or other sauce would have done much to enhance ."
] | ['herb', ['to']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Barbecued codfish was gorgeously moist - as if poached - yet the fabulous texture was let down by curiously bland seasoning - a spice rub might have overwhelmed , however herb mix or other sauce would have done much to enhance ."
] | ['sauce', ['to']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"After dinner , take your date to the HUGE dance floor , probably one of the biggest you 'll see in NY ."
] | ['dance', ['HUGE', 'biggest']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Taj Mahal offeres gret value and great food ."
] | ['value', ['great']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Taj Mahal offeres gret value and great food ."
] | ['food', ['great']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"My boyfriend and I recently had an early dinner at Artisanal and was satisfied with our experience ."
] | ['dinner', ['satisfied']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Outstanding Bagels , but you get what you pay for ."
] | ['Bagels', ['Outstanding']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Pizza - the only pizza in NYC that should not have additional toppings - the crust tastes like the best , freshly baked bread !"
] | ['crust', ['best']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Pizza - the only pizza in NYC that should not have additional toppings - the crust tastes like the best , freshly baked bread !"
] | ['bread', ['freshly']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"I found it on a cold night , the perfect spot to warm up ."
] | ['spot', ['perfect']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Service was warm and attentive , beef carpaachio was exellent ( huge portion ) and pasta was fresh and well-prepared ."
] | ['Service', ['warm', 'attentive']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Service was warm and attentive , beef carpaachio was exellent ( huge portion ) and pasta was fresh and well-prepared ."
] | ['beef', ['exellent']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Service was warm and attentive , beef carpaachio was exellent ( huge portion ) and pasta was fresh and well-prepared ."
] | ['pasta', ['fresh', 'well-prepared']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Service was warm and attentive , beef carpaachio was exellent ( huge portion ) and pasta was fresh and well-prepared ."
] | ['portion', ['huge']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Best Italian food I ever had ( and being Italian , that means alot ) ."
] | ['Italian', ['Best']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"I will recommend Scopa to all of my friends for a place to go for wonderful Italian food ."
] | ['Italian', ['wonderful']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Looking around , I saw a room full of New Yorkers enjoying a real meal in a real restaurant , not a clubhouse of the fabulous trying to be seen ."
] | ['meal', ['real']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Looking around , I saw a room full of New Yorkers enjoying a real meal in a real restaurant , not a clubhouse of the fabulous trying to be seen ."
] | ['clubhouse', ['fabulous']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Great bar , most gorgeous bartenders you 've ever seen ( specifically the blond lady ) ."
] | ['bar', ['Great']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Great bar , most gorgeous bartenders you 've ever seen ( specifically the blond lady ) ."
] | ['bartenders', ['gorgeous']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"I really loved the different and inovated touch that 's the cheff gives to the food ."
] | ['food', ['different', 'inovated']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"They came out over cooked and the cheese was almost non existant ."
] | ['cheese', ['non']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"I had a terrific meal , and our server guided us toward a very nice wine in our price range , instead of allowing us to purchase a similarly priced wine that was n't as good ."
] | ['meal', ['terrific']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"I had a terrific meal , and our server guided us toward a very nice wine in our price range , instead of allowing us to purchase a similarly priced wine that was n't as good ."
] | ['wine', ['nice']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"The svc can be a bit rude at times , esp if you have big group , but overall the restaurant is a must !"
] | ['svc', ['rude']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"The food is good , especially their more basic dishes , and the drinks are delicious ."
] | ['food', ['good']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"The food is good , especially their more basic dishes , and the drinks are delicious ."
] | ['dishes', ['good']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"The food is good , especially their more basic dishes , and the drinks are delicious ."
] | ['drinks', ['delicious']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"But the main hit was the whole grilled fish ."
] | ['whole', ['hit']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"On a hot day it was fabulous to stop in and enjoy lunch ."
] | ['lunch', ['fabulous', 'enjoy']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"The food is delicious and beautifully prepared along with the friendly and personable service ."
] | ['food', ['delicious', 'beautifully']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"The food is delicious and beautifully prepared along with the friendly and personable service ."
] | ['service', ['personable']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Pizza here is consistently good ."
] | ['Pizza', ['good']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"We had a great tiem watching the shows and characters and ar food was just what we were looking for ."
] | ['shows', ['great']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"We had a great tiem watching the shows and characters and ar food was just what we were looking for ."
] | ['food', ['looking']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"We had a great tiem watching the shows and characters and ar food was just what we were looking for ."
] | ['characters', ['great']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Would n't recomend it for dinner !"
] | ['dinner', ['recomend']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Sauce was watery and the food did n't have much flavor ."
] | ['Sauce', ['watery']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Sauce was watery and the food did n't have much flavor ."
] | ['food', ['did']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"My husband and I enjoy Sangria ."
] | ['Sangria', ['enjoy']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"We both opted for a pasta dish and they were served timely and fresh ."
] | ['pasta', ['served', 'fresh']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"We both opted for a pasta dish and they were served timely and fresh ."
] | ['served', ['timely', 'fresh']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"First the wrong bread came out with the appetizer , then when i tried to order a second glass of wine for my main course ..."
] | ['bread', ['wrong']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"First the wrong bread came out with the appetizer , then when i tried to order a second glass of wine for my main course ..."
] | ['glass', ['second']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Not sure where the previous reviewer , lonk , dined , but Saul is in a great neighborhood and has great food !"
] | ['neighborhood', ['great']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Not sure where the previous reviewer , lonk , dined , but Saul is in a great neighborhood and has great food !"
] | ['food', ['great']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"In an area sadly lacking in decent Thai food , this is one of the best spots ."
] | ['Thai', ['decent']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Make reservations but expect to be delayed 15-20 minutes as the hosting staff was having difficulty seating guests who arrived with a reservation because they probably had a lot of walk ins being so close to Time Square ."
] | ['reservations', ['delayed']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Make reservations but expect to be delayed 15-20 minutes as the hosting staff was having difficulty seating guests who arrived with a reservation because they probably had a lot of walk ins being so close to Time Square ."
] | ['seating', ['difficulty']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"The food was average or above including some surprising tasty dishes ."
] | ['food', ['average']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"The food was average or above including some surprising tasty dishes ."
] | ['dishes', ['tasty']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"They do n't seem to place an emphasis on specials or fresh ingredients which to me is necessary for good thai ."
] | ['ingredients', ['good']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"They do n't seem to place an emphasis on specials or fresh ingredients which to me is necessary for good thai ."
] | ['thai', ['good']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"The noodle and rices dishes taste great ."
] | ['noodle', ['great']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"The food 's as good as ever ."
] | ['food', ['good']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"The crust is thin , the ingredients are fresh and the staff is friendly ."
] | ['crust', ['thin']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"The crust is thin , the ingredients are fresh and the staff is friendly ."
] | ['staff', ['friendly']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"The crust is thin , the ingredients are fresh and the staff is friendly ."
] | ['ingredients', ['fresh']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"Also a little more expensive than your average bagel place ."
] | ['bagel', ['expensive']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"the food was undercooked -the sauce watery , and the vegetables raw ."
] | ['food', ['undercooked']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"the food was undercooked -the sauce watery , and the vegetables raw ."
] | ['vegetables', ['raw']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"the food was undercooked -the sauce watery , and the vegetables raw ."
] | ['sauce', ['watery']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"And the fried clams had just enough kick to them to make 'em worth eating ."
] | ['fried', ['enough']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"The sauces used are also not that exciting ."
] | ['sauces', ['not']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"The secret is the lunch menu which offers a complimentary appetizer with every entree ordered ."
] | ['lunch', ['secret']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"The secret is the lunch menu which offers a complimentary appetizer with every entree ordered ."
] | ['appetizer', ['complimentary']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
||
generation | towe | [
"The secret is the lunch menu which offers a complimentary appetizer with every entree ordered ."
] | ['entree', ['complimentary']] | none | Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.