task_type
stringclasses
1 value
dataset
stringclasses
1 value
input
sequence
output
stringlengths
14
75
situation
stringclasses
1 value
label
stringclasses
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extra
stringclasses
1 value
instruct
stringclasses
1 value
generation
towe
[ "The portions are now very small , the sauces are overly ambitious usually inedible while the service is still good , the restaurant , due to its popularity , seems frantic ." ]
['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
[ "The portions are now very small , the sauces are overly ambitious usually inedible while the service is still good , the restaurant , due to its popularity , seems frantic ." ]
['sauces', ['ambitious', 'inedible']]
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 now very small , the sauces are overly ambitious usually inedible while the service is still good , the restaurant , due to its popularity , seems frantic ." ]
['service', ['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 owner is very friendly and a great guy , go try his pizza , you 'll like it !" ]
['owner', ['friendly', '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 owner is very friendly and a great guy , go try his pizza , you 'll like it !" ]
['pizza', ['try', 'like']]
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 atmosphere is great ! ! !" ]
['atmosphere', ['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
[ "With so many good restaurants on the UWS , I do n't need overpriced food , absurdly arrogant wait-staff who do n't recognize they work at a glorified diner , clumsy service , and management that does n't care ." ]
['food', ['overpriced']]
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
[ "With so many good restaurants on the UWS , I do n't need overpriced food , absurdly arrogant wait-staff who do n't recognize they work at a glorified diner , clumsy service , and management that does n't care ." ]
['wait-staff', ['arrogant']]
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
[ "With so many good restaurants on the UWS , I do n't need overpriced food , absurdly arrogant wait-staff who do n't recognize they work at a glorified diner , clumsy service , and management that does n't care ." ]
['service', ['clumsy']]
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
[ "With so many good restaurants on the UWS , I do n't need overpriced food , absurdly arrogant wait-staff who do n't recognize they work at a glorified diner , clumsy service , and management that does n't care ." ]
['management', ['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
[ "With so many good restaurants on the UWS , I do n't need overpriced food , absurdly arrogant wait-staff who do n't recognize they work at a glorified diner , clumsy service , and management that does n't care ." ]
['diner', ['glorified']]
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 tend to judge a sushi restaurant by its sea urchin , which was heavenly at sushi rose ." ]
['sea', ['heavenly']]
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 is a little scatty at times but all is forgiven when the food arrives ." ]
['service', ['scatty']]
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 is a little scatty at times but all is forgiven when the food arrives ." ]
['food', ['forgiven']]
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 bruscetta is a bit soggy , but the salads were fresh , included a nice mix of greens ( not iceberg ) all dishes are served piping hot from the kitchen ." ]
['bruscetta', ['soggy']]
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 bruscetta is a bit soggy , but the salads were fresh , included a nice mix of greens ( not iceberg ) all dishes are served piping hot from the kitchen ." ]
['salads', ['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
[ "The bruscetta is a bit soggy , but the salads were fresh , included a nice mix of greens ( not iceberg ) all dishes are served piping hot from the kitchen ." ]
['dishes', ['hot']]
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 bruscetta is a bit soggy , but the salads were fresh , included a nice mix of greens ( not iceberg ) all dishes are served piping hot from the kitchen ." ]
['mix', ['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 atmosphere is n't the greatest , but I suppose that 's how they keep the prices down ." ]
['atmosphere', ['is']]
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 atmosphere is n't the greatest , but I suppose that 's how they keep the prices down ." ]
['prices', ['down']]
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 pickles were great addition ." ]
['pickles', ['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
[ "If your favorite Chinese food is General Tao chicken , then this is NOT your place ." ]
['General', ['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
[ "You must try the shrimp appetizers ." ]
['shrimp', ['try']]
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 is the cuisine the best around , the service has always been attentive and charming ." ]
['cuisine', ['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
[ "Not only is the cuisine the best around , the service has always been attentive and charming ." ]
['service', ['attentive', 'charming']]
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 production is a symphony , alot of fun to experience.The food sublime for the most part ." ]
['food', ['sublime']]
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
[ "Waiters tend to forget drinks completely , food portions are so tiny , two people have trouble sharing one entree ." ]
['Waiters', ['forget']]
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
[ "Waiters tend to forget drinks completely , food portions are so tiny , two people have trouble sharing one entree ." ]
['food', ['tiny']]
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
[ "Waiters tend to forget drinks completely , food portions are so tiny , two people have trouble sharing one entree ." ]
['drinks', ['forget']]
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
[ "Waiters tend to forget drinks completely , food portions are so tiny , two people have trouble sharing one entree ." ]
['entree', ['trouble']]
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 wife and i have been going to nyc for years and would n't miss roxy , s food is expensive but it 's new york !" ]
['food', ['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
[ "Interesting selection , good wines , service fine , fun decor ." ]
['wines', ['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
[ "Interesting selection , good wines , service fine , fun decor ." ]
['service', ['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
[ "Interesting selection , good wines , service fine , fun decor ." ]
['decor', ['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
[ "But the thing that my wife and I hated was it was so loud and it felt like ' bar ' or ' pub ' ." ]
['bar', ['loud']]
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 thing that my wife and I hated was it was so loud and it felt like ' bar ' or ' pub ' ." ]
['pub', ['loud']]
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
[ "While there are plenty of places to go for a good corned beef sandwich , Katz 's has a charm about it ." ]
['corned', ['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
[ "However , looking at the table next to ours , we both sort of wished we had ordered pizza , which looked perfect" ]
['pizza', ['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
[ "Priced at upper intermediate range ." ]
['Priced', ['upper']]
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 adequate , but inexpertly sliced ." ]
['fish', ['adequate', 'inexpertly']]
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 live in new york city , you 'll find better food at small restaurants outside of time square and spend half the amount ." ]
['food', ['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
[ "they did n't disappoint , service from the second i arrived at the door was extremely pleasant and attentive with almost one server per table ." ]
['service', ['pleasant', '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
[ "I do n't know who they think they are but they have no respect for the residents of the neighborhood ever since they opened their cabaret next door and blasts loud music till three in the morning every weekend during the summer ." ]
['music', ['loud']]
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 rice to fish ration was also good -- they did n't try to overpack the rice ." ]
['rice', ['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 great and they have a good selecion of wines at reasonable prices ." ]
['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
[ "The food is great and they have a good selecion of wines at reasonable prices ." ]
['selecion', ['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 great and they have a good selecion of wines at 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
[ "The only positive was the wait staff , which was prompt , knowledgable , and likeable ." ]
['wait', ['positive', 'prompt', 'knowledgable', 'likeable']]
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 could n't reccommend their Godmother pizza any higher ." ]
['Godmother', ['reccommend']]
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 am not a vegetarian but , almost all the dishes were great ." ]
['dishes', ['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
[ "I was very impressed by this low-key upper eastsider and their authentically thai cuisine ! ! !" ]
['thai', ['authentically']]
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
[ "For the location , the prices are very 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
[ "For the location , the prices are very reasonable ." ]
['location', ['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
[ "The food is okay and the prices here are mediocre ." ]
['food', ['okay']]
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 okay and the prices here are mediocre ." ]
['prices', ['mediocre']]
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 friend 's food was also the complete opposite of what it 's supposed to taste like ( aND look like ) ." ]
['food', ['opposite']]
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 have been to this place many times , and always have great food , wine , and service ." ]
['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
[ "We have been to this place many times , and always have great food , wine , and service ." ]
['wine', ['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 have been to this place many times , and always have great food , wine , and service ." ]
['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
[ "Not a typical pizza joint , but good for a low key and fairly cheap nice sit down dinner ." ]
['dinner', ['cheap', '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 corned beef was tender and melted in my mouth ." ]
['corned', ['tender', 'melted']]
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 Chicken pad tai , I 've ever had ." ]
['Chicken', ['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
[ "$ 20 for all you can eat sushi can not be beaten ." ]
['sushi', ['can']]
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
[ "Haru serves very fresh fish , has a trendy , modern ambiance , prime location on Park Avenue South and friendly service ." ]
['fish', ['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
[ "Haru serves very fresh fish , has a trendy , modern ambiance , prime location on Park Avenue South and friendly service ." ]
['service', ['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
[ "Haru serves very fresh fish , has a trendy , modern ambiance , prime location on Park Avenue South and friendly service ." ]
['ambiance', ['trendy', 'modern']]
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
[ "Haru serves very fresh fish , has a trendy , modern ambiance , prime location on Park Avenue South and friendly service ." ]
['location', ['prime']]
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
[ "Warm and friendly in the winter and terrific outdoor seating in the warmer months ." ]
['outdoor', ['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
[ "Very romantic fires - I 've literally spent hours at Lanterna , drinking wine from their extensive wine and enjoying the ambience ." ]
['wine', ['extensive']]
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
[ "Very romantic fires - I 've literally spent hours at Lanterna , drinking wine from their extensive wine and enjoying the ambience ." ]
['ambience', ['enjoying']]
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 got a little tipsy from the sake but is n't that what Saturday nights with the girlfriends are all about ?" ]
['sake', ['tipsy']]
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
[ "Always a nice crowd , but never loud ." ]
['crowd', ['nice', 'never']]
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 turkey burger was not cooked at all , my friends salmon was completely raw ." ]
['turkey', ['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
[ "My turkey burger was not cooked at all , my friends salmon was completely raw ." ]
['salmon', ['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 service is spotty , sometimes really friendly and sometimes barely there ." ]
['service', ['spotty']]
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
[ "Decor is minimalist and clean - nothing to distract or commend ." ]
['Decor', ['minimalist', 'clean']]
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
[ "His drinks are very inventive , delicious and classy ." ]
['drinks', ['inventive', 'delicious', 'classy']]
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 food , great prices , great service ." ]
['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
[ "Great food , great prices , great service ." ]
['prices', ['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 food , great prices , great service ." ]
['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
[ "Awesome Pizza especially the Margheritta slice ." ]
['Pizza', ['Awesome']]
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
[ "Awesome Pizza especially the Margheritta slice ." ]
['Margheritta', ['Awesome']]
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 place , however , has a lot less pretension than Joya and the Thai food is still above average ." ]
['Thai', ['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
[ "Try ordering from the regular menu , then you would not regret !" ]
['menu', ['regret']]
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 started with lox and mussels ( the best ive ever had , ever ) and had the cod and trout for dinner ." ]
['lox', ['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
[ "We started with lox and mussels ( the best ive ever had , ever ) and had the cod and trout for dinner ." ]
['mussels', ['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
[ "Food is great ." ]
['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
[ "I recommend the meatballs and caprese salad and the beans on toast were a wonderful start to the meal !" ]
['meatballs', ['recommend']]
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 recommend the meatballs and caprese salad and the beans on toast were a wonderful start to the meal !" ]
['caprese', ['recommend']]
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 recommend the meatballs and caprese salad and the beans on toast were a wonderful start to the meal !" ]
['beans', ['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
[ "I recommend the meatballs and caprese salad and the beans on toast were a wonderful start to the meal !" ]
['meal', ['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
[ "This place is incredibly tiny ." ]
['place', ['tiny']]
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 did n't complain , I liked the atmosphere so much ." ]
['atmosphere', ['liked']]
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 is always good , the tapas are always yummy , especially with the warm pita bread ." ]
['wine', ['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 wine is always good , the tapas are always yummy , especially with the warm pita bread ." ]
['tapas', ['yummy']]
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 is always good , the tapas are always yummy , especially with the warm pita bread ." ]
['pita', ['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
[ "But when you are seated the waitresses are great , they explain everything on the menu , and the price of the food is really cheap for the service you get ." ]
['waitresses', ['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
[ "But when you are seated the waitresses are great , they explain everything on the menu , and the price of the food is really cheap for the service you get ." ]
['price', ['cheap']]
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 when you are seated the waitresses are great , they explain everything on the menu , and the price of the food is really cheap for the service you get ." ]
['food', ['cheap']]
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 've been to several places for Dim Sum and this has got to be the WORST ." ]
['Dim', ['WORST']]
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']]