task_type
stringclasses
1 value
dataset
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input
sequence
output
stringlengths
14
75
situation
stringclasses
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label
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extra
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instruct
stringclasses
1 value
generation
towe
[ "For authentic Thai food , look no further than Toons ." ]
['Thai', ['authentic']]
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 highlight of the night was the mayonaisse for my side of fries I received from one of the food runners , which is not good considering the bill was nearly $ 100 ." ]
['mayonaisse', ['highlight']]
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 highlight of the night was the mayonaisse for my side of fries I received from one of the food runners , which is not good considering the bill was nearly $ 100 ." ]
['food', ['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
[ "I choose to go with one of the special , the braised lamb shank in red wine , which was excellent ." ]
['braised', ['excellent']]
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 choose to go with one of the special , the braised lamb shank in red wine , which was excellent ." ]
['special', ['excellent']]
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
[ "Small servings for main entree , i had salmon ( wasnt impressed ) girlfriend had chicken , it was good ." ]
['salmon', ['wasnt']]
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
[ "Small servings for main entree , i had salmon ( wasnt impressed ) girlfriend had chicken , it was good ." ]
['chicken', ['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
[ "Small servings for main entree , i had salmon ( wasnt impressed ) girlfriend had chicken , it was good ." ]
['servings', ['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
[ "you can actually get 2 salads worth if u take it home and add it to some lettuce !" ]
['salads', ['worth']]
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 ambience is very romantic and definitely a good place to bring a date ." ]
['ambience', ['romantic']]
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 ambience is very romantic and definitely a good place to bring a date ." ]
['place', ['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
[ "It is far more popular as a bar than as a restaurant , with only a few tables and the waiter being the bartender , but we greatly enjoyed the unobtrusive atmosphere ." ]
['bar', ['popular']]
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 far more popular as a bar than as a restaurant , with only a few tables and the waiter being the bartender , but we greatly enjoyed the unobtrusive atmosphere ." ]
['tables', ['few']]
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 far more popular as a bar than as a restaurant , with only a few tables and the waiter being the bartender , but we greatly enjoyed the unobtrusive atmosphere ." ]
['atmosphere', ['enjoyed', 'unobtrusive']]
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 very good for it 's price , better than most fried dumplings I 've had ." ]
['food', ['good', 'better']]
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 very good for it 's price , better than most fried dumplings I 've had ." ]
['fried', ['better']]
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
[ "There are much better places in NY with better prices ." ]
['prices', ['better']]
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
[ "Obv caviar is top of the line but the rest of the menu is so diverse it gives you a chance to taste so manydifferent varietys ." ]
['Obv', ['top']]
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
[ "Obv caviar is top of the line but the rest of the menu is so diverse it gives you a chance to taste so manydifferent varietys ." ]
['menu', ['diverse']]
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 ate here a week ago and found most dishes average at best and too expensive ." ]
['dishes', ['average', 'too']]
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
[ "Still , try it once , since if you end up loving the food , it could be one of your best dining experiences ." ]
['food', ['loving']]
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
[ "Still , try it once , since if you end up loving the food , it could be one of your best dining experiences ." ]
['dining', ['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
[ "Other guests enjoyed pizza , santa fe chopped salad and fish and chips ." ]
['pizza', ['enjoyed']]
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
[ "Other guests enjoyed pizza , santa fe chopped salad and fish and chips ." ]
['santa', ['enjoyed']]
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
[ "Other guests enjoyed pizza , santa fe chopped salad and fish and chips ." ]
['fish', ['enjoyed']]
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 ambience is very calm and quiet ." ]
['ambience', ['calm']]
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
[ "Both times I was extremely dissappointed by the service , which was boarderline rude ." ]
['service', ['dissappointed', '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
[ "not only does make the best pizza in NY , maybe anywhere ." ]
['pizza', ['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 roll is huge and probably the best that I 've had at this price range ." ]
['Tuna', ['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 spicy Tuna roll is huge and probably the best that I 've had at this price range ." ]
['price', ['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
[ "Our waiter and all of the people helping him were attentive and genuine ." ]
['waiter', ['attentive', 'genuine']]
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 place is a BISTRO which means : simple dishes and wine served efficiently in a bustling atmosphere ." ]
['place', ['BISTRO']]
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 place is a BISTRO which means : simple dishes and wine served efficiently in a bustling atmosphere ." ]
['dishes', ['simple']]
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 place is a BISTRO which means : simple dishes and wine served efficiently in a bustling atmosphere ." ]
['wine', ['served']]
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 place is a BISTRO which means : simple dishes and wine served efficiently in a bustling atmosphere ." ]
['atmosphere', ['bustling']]
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 place is a BISTRO which means : simple dishes and wine served efficiently in a bustling atmosphere ." ]
['served', ['efficiently']]
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
[ "This is one of the best comfort food places in the city ." ]
['comfort', ['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 had a huge pastrami sandwich on a roll ." ]
['pastrami', ['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
[ "Though you will undoubtedly be seated at a table with what seems like barely enough room ( no matter what the size of your party ) , the warm atomosphere is worth the cramped quarters- you 'll have fun and forgot about the tight spot you 're in ." ]
['table', ['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
[ "Though you will undoubtedly be seated at a table with what seems like barely enough room ( no matter what the size of your party ) , the warm atomosphere is worth the cramped quarters- you 'll have fun and forgot about the tight spot you 're in ." ]
['atomosphere', ['warm']]
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
[ "Though you will undoubtedly be seated at a table with what seems like barely enough room ( no matter what the size of your party ) , the warm atomosphere is worth the cramped quarters- you 'll have fun and forgot about the tight spot you 're in ." ]
['room', ['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
[ "Though you will undoubtedly be seated at a table with what seems like barely enough room ( no matter what the size of your party ) , the warm atomosphere is worth the cramped quarters- you 'll have fun and forgot about the tight spot you 're in ." ]
['spot', ['tight']]
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 fish was not fresh and the rice tasted old and stale ." ]
['fish', ['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 fish was not fresh and the rice tasted old and stale ." ]
['rice', ['old', 'stale']]
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
[ "Considering their price of $ 6.25 for lunch special , the dish was ridiculously small ." ]
['dish', ['ridiculously']]
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
[ "Besides , when you have bad service , that 's less money you have to tip ." ]
['service', ['bad']]
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
[ "Besides , when you have bad service , that 's less money you have to tip ." ]
['money', ['less']]
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
[ "Besides , when you have bad service , that 's less money you have to tip ." ]
['tip', ['bad']]
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 wine list is also really nice ." ]
['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
[ "Service was devine , oysters where a sensual as they come , and the price ca n't be beat ! ! !" ]
['Service', ['devine']]
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 devine , oysters where a sensual as they come , and the price ca n't be beat ! ! !" ]
['oysters', ['sensual']]
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 devine , oysters where a sensual as they come , and the price ca n't be beat ! ! !" ]
['price', ['ca']]
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
[ "Compared to Ess-a , Tal offers a less doughy bagel !" ]
['bagel', ['less']]
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
[ "Ballato 's is consistently delicious authentic italian food ." ]
['italian', ['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
[ "The service was attentive , yet discreet ." ]
['service', ['attentive', 'discreet']]
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 offer the same menu but have creative drinks that are loaded with alcohol and cheeky names -- but they do cost you ." ]
['menu', ['same']]
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 offer the same menu but have creative drinks that are loaded with alcohol and cheeky names -- but they do cost you ." ]
['drinks', ['creative']]
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 went to eat at the Jekyll and Hyde restaurant on Friday night and really enjoyed the fun atmosphere and good food ." ]
['atmosphere', ['enjoyed', '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
[ "We went to eat at the Jekyll and Hyde restaurant on Friday night and really enjoyed the fun atmosphere and good food ." ]
['food', ['enjoyed', '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 was pretty traditional but it was hot and good with large portions ." ]
['food', ['traditional', 'hot', '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 was pretty traditional but it was hot and good with large portions ." ]
['portions', ['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
[ "Unless you are eating in the Pizzeria side of this place , and are not in a rush , this place is a bad idea ." ]
['place', ['bad']]
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
[ "Ambiance is barely romantic but management tries ." ]
['Ambiance', ['barely']]
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
[ "Ambiance is barely romantic but management tries ." ]
['management', ['tries']]
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 must warn the reader that the portions sizes are very small ( especially the appetizers ) , so if you plan to eat until you are full and do not intend to order the chef 's special tasting menu , prepare to order and pay for an appetizer ( 1 dish for each person because the portions are not for sharing ) , a main entree , and the cold udon at the end of the meal ." ]
['portions', ['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
[ "I must warn the reader that the portions sizes are very small ( especially the appetizers ) , so if you plan to eat until you are full and do not intend to order the chef 's special tasting menu , prepare to order and pay for an appetizer ( 1 dish for each person because the portions are not for sharing ) , a main entree , and the cold udon at the end of the meal ." ]
['appetizers', ['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
[ "They were very abrupt with me when I called and actually claimed the food was late because they were out of rice ." ]
['food', ['late']]
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 were very abrupt with me when I called and actually claimed the food was late because they were out of rice ." ]
['rice', ['out']]
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 we got our sashimi order , I could not believe how small the portions were !" ]
['sashimi', ['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
[ "After we got our sashimi order , I could not believe how small the portions were !" ]
['portions', ['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
[ "Nothing better than buying a snapple for $ 3.25 too ." ]
['snapple', ['better']]
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 is extraordinary , yet not overbearing , and the decor brings a taste of trendy SoHo into Queens ." ]
['Service', ['extraordinary', '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
[ "Service is extraordinary , yet not overbearing , and the decor brings a taste of trendy SoHo into Queens ." ]
['decor', ['trendy']]
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 dosas are skimpy , unattractive and drip with grease , and personally I 'd drink popcorn topping before I 'd eat another one of these ." ]
['dosas', ['skimpy', 'unattractive']]
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 service was excellent and the food was delicious ." ]
['service', ['excellent']]
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 service was excellent and the food was delicious ." ]
['food', ['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
[ "If I wanted to deal with a crappy scene and annoying customers I 'd go out in Manhattan ." ]
['scene', ['crappy']]
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 I wanted to deal with a crappy scene and annoying customers I 'd go out in Manhattan ." ]
['customers', ['annoying']]
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
[ "Until you realize that their five minutes is meaningless and your wait may be anywhere from two to twenty minutes it may be frustrating ." ]
['wait', ['frustrating']]
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 very good , but not very thai ." ]
['food', ['good', '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
[ "Thalia is a beautiful restaurant with beautiful people serving you , but the food does n't quite match up ." ]
['people', ['beautiful']]
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
[ "Thalia is a beautiful restaurant with beautiful people serving you , but the food does n't quite match up ." ]
['food', ['does']]
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 fillings may be unconventional but the dosa batter is definitely authentic and the combinations very tasty ." ]
['fillings', ['unconventional']]
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 fillings may be unconventional but the dosa batter is definitely authentic and the combinations very tasty ." ]
['dosa', ['authentic']]
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
[ "This is the perfect spot for meeting friends , having lunch , dinner , pre-theatre or after-theatre drinks !" ]
['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
[ "The mussaman curry that I ordered was as thin as water and aside from the poorly fried tofu that I ordered in it , they graciously provided me with ONE piece of poorly cooked potato ." ]
['mussaman', ['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 mussaman curry that I ordered was as thin as water and aside from the poorly fried tofu that I ordered in it , they graciously provided me with ONE piece of poorly cooked potato ." ]
['fried', ['poorly']]
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 mussaman curry that I ordered was as thin as water and aside from the poorly fried tofu that I ordered in it , they graciously provided me with ONE piece of poorly cooked potato ." ]
['potato', ['poorly']]
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
[ "A restaurant that does n't try to do anything except serve great food with great service in a pleasant atmosphere ." ]
['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
[ "A restaurant that does n't try to do anything except serve great food with great service in a pleasant atmosphere ." ]
['service', ['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
[ "A restaurant that does n't try to do anything except serve great food with great service in a pleasant atmosphere ." ]
['atmosphere', ['pleasant']]
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
[ "Their sake martini is wonderful ." ]
['sake', ['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
[ "Well , this place is so Ghetto its not even funny ." ]
['place', ['Ghetto', '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
[ "We would like to thank Marcelo and Grace for a wonderful dining experience ! ! !" ]
['dining', ['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
[ "Found service above average , but that could be because we were 13 of us ." ]
['service', ['above']]
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
[ "Bagels are ok , but be sure not to make any special requests !" ]
['Bagels', ['ok']]
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
[ "fine dining restaurant quality ." ]
['quality', ['fine']]
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
[ "Overall a disappointing experience for that price category ." ]
['price', ['disappointing']]
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 exceptional ." ]
['food', ['exceptional']]
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 portions are small but being that the food was so good makes up for that ." ]
['portions', ['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']]