task_type stringclasses 1 value | dataset stringclasses 1 value | input list | output stringlengths 28 294 | situation stringclasses 1 value | label stringclasses 1 value | extra stringclasses 1 value | instruction stringclasses 1 value |
|---|---|---|---|---|---|---|---|
generation | aste-data-v2 | [
"I only tried a simple dish of spinach ravioli in a light oil and garlic sauce , but it actually faired better than most NYC Italian joints I 've tried similar dishes at ."
] | [['spinach ravioli in a light oil and garlic sauce', 'better', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The worst excuse for Japanese food I 've ever encountered ."
] | [['Japanese food', 'worst', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"We had Pam 's special fried fish and it was amazing ."
] | [["Pam 's special fried fish", 'amazing', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"My boyfriend had the New England Chowder it was good but I think the award should go to the Lobster Bisque ."
] | [['New England Chowder', 'good', 'positive'], ['Lobster Bisque', 'award', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Not enough wines by the glass either ."
] | [['wines by the glass', 'Not enough', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"I must say it 's a little pricey for the food because it was not as spectacular as the view ."
] | [['food', 'pricey', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"We were worried we would have trouble getting in , but somehow managed to have a short wait ."
] | [['wait', 'short', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"My wife had the fried shrimp which are huge and loved it ."
] | [['fried shrimp', 'huge', 'positive'], ['fried shrimp', 'loved', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The service is awful -- the last time I was there ( and I do mean the last time ) we were told that they needed our table so we would have to leave ."
] | [['service', 'awful', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Try the green curry ! ! !"
] | [['green curry', 'Try', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"We had the scallops as an appetizer and they were delicious and the sauce was wonderful ."
] | [['scallops', 'delicious', 'positive'], ['appetizer', 'delicious', 'positive'], ['sauce', 'wonderful', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"We were also seated promptly at the time of our reservation and the service was very quick and professional ."
] | [['service', 'quick', 'positive'], ['service', 'professional', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The food there are sastifying ."
] | [['food', 'sastifying', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"I highly recommend visiting this restaurant and having dinner and drinks !"
] | [['dinner', 'recommend', 'positive'], ['drinks', 'recommend', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Great wine selection , Gigondas is worth the price , and the house champagne is a great value ."
] | [['wine selection', 'Great', 'positive'], ['Gigondas', 'worth the price', 'positive'], ['house champagne', 'great value', 'positive'], ['price', 'worth', 'neutral']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"at night , but it 's hard to hear your own conversation with everyone else competing for that same luxury - the music playing in the background is also voluminous ."
] | [['music', 'voluminous', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"I particularly love their yellowfun tuna and their mussel selection ."
] | [['yellowfun tuna', 'love', 'positive'], ['mussel selection', 'love', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"I love to visit Murrays for my bagel fix ."
] | [['bagel', 'love', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"We made early dinner reservations and were thoroughly impressed , reminds me of my grandfather , its old school Italian scenery with lots of fun stuff to admire ."
] | [['scenery', 'fun', 'positive'], ['dinner reservations', 'early', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Cheese plate is a varied delight and great bargain at $ 10 ."
] | [['Cheese plate', 'varied delight', 'positive'], ['Cheese plate', 'great bargain', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Most of the servers are very attentive , friendly and quite attractive ."
] | [['servers', 'attentive', 'positive'], ['servers', 'friendly', 'positive'], ['servers', 'attractive', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Service is average ."
] | [['Service', 'average', 'neutral']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"But they 've done a really nice job of offering all the typical pizzeria faves plus some terrific specials like the Godmother pizza ( a sort of traditional flat pizza with an olive oil-brushed crust and less tomato sauce than usual ) ."
] | [['Godmother pizza ( a sort of traditional flat pizza with an olive oil-brushed crust and less tomato sauce than usual )', 'terrific', 'positive'], ['specials', 'terrific', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The steak is good , the fish is good and the sushi was surprisingly great ."
] | [['steak', 'good', 'positive'], ['fish', 'good', 'positive'], ['sushi', 'great', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The service was poor , restaurant poorly lit , staff not very attentive and I would have rather eaten at a Mcdonald 's than this joint ."
] | [['service', 'poor', 'negative'], ['staff', 'not very attentive', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"My GF and I still choose to eat there a lot because of diverse cocktails , the chill decor , and the decent sushi ."
] | [['cocktails', 'diverse', 'positive'], ['decor', 'chill', 'positive'], ['sushi', 'decent', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"We ended the dinner with a surprisingly light and flaky apple tarte tatin ."
] | [['apple tarte tatin', 'flaky', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The buffet had a nice selection ."
] | [['buffet', 'nice', 'positive'], ['selection', 'nice', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Waitstaff are very friendly ."
] | [['Waitstaff', 'friendly', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Service was slow had to wait to order and get food although not crowded ."
] | [['Service', 'slow', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The food was below average , the service was pathetic , there was no ambience at all ."
] | [['food', 'below average', 'negative'], ['service', 'pathetic', 'negative'], ['ambience', 'no', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"I REALLY ENJOYED THE SHOWS PUT ON BY THE ACTORS ."
] | [['SHOWS', 'ENJOYED', 'positive'], ['ACTORS', 'ENJOYED', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"service was efficient courteous ."
] | [['service', 'efficient courteous', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The miso soup lacked flavor and the fish was unfortunately not as well prepared as in the past ."
] | [['miso soup', 'lacked flavor', 'negative'], ['fish', 'unfortunately', 'negative'], ['flavor', 'lacked', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"They are the best bagels I 've had ."
] | [['bagels', 'best', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Toons has recently been redone , so it 's now a very attractive space ."
] | [['space', 'attractive', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"While the prices are nothing special , the portions are huge ."
] | [['prices', 'special', 'neutral'], ['portions', 'special', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Its a nice quiet location to go eat a good meal , relax , be able to talk and have a very good time ."
] | [['location', 'nice quiet', 'positive'], ['meal', 'good', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"However , I think this place is a good hang out spot ."
] | [['spot', 'good', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The wine list is extensive and impressive ."
] | [['wine list', 'extensive', 'positive'], ['wine list', 'impressive', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"While the staff at this little bistro is very friendly , I have never experienced more incompetency ."
] | [['staff', 'friendly', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The quail was fantastic and unique and the pastas were full of flavor ."
] | [['quail', 'fantastic', 'positive'], ['quail', 'unique', 'positive'], ['pastas', 'full', 'positive'], ['flavor', 'full', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The staff is courteous and friendly ."
] | [['staff', 'courteous', 'positive'], ['staff', 'friendly', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Aside from the rushed service , we were very impressed with the food and the drinks ."
] | [['service', 'rushed', 'negative'], ['food', 'impressed', 'positive'], ['drinks', 'impressed', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"I would highly recommend this place to anyone who is looking for a fine Indian dining experience that is definitely a value for your dollar ."
] | [['Indian dining experience', 'fine', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"This big draw is the all you can sushi here for $ 19.95 !"
] | [['sushi', 'draw', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Some of the workers ignore me and talk to the female customers , other times , they 've skipped my order ."
] | [['workers', 'ignore', 'negative'], ['order', 'skipped', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The specials are usually quite good too ."
] | [['specials', 'good', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"They 've the best desserts and mixed drinks as well as snack foods ."
] | [['desserts', 'best', 'positive'], ['mixed drinks', 'best', 'positive'], ['snack foods', 'best', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Really cool stauff inside ."
] | [['stauff', 'cool', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"While the new restaurant still features much of the same classical furniture that made Tiffin so attractive , the menu has been overhauled ."
] | [['classical furniture', 'classical', 'positive'], ['menu', 'overhauled', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The best burger I have had in the Village ."
] | [['burger', 'best', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Only drawback - they wo n't toast your bagel , and they do n't make eggs for the bagel ."
] | [['bagel', 'drawback', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"As always we had a great glass of wine while we waited ."
] | [['glass of wine', 'great', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The wait staff is pleasant , fun , and for the most part gorgeous ( in the wonderful aesthetic beautification way , not in that she's-way-cuter-than-me-that-b @ # $ * way ) ."
] | [['wait staff', 'pleasant', 'positive'], ['wait staff', 'fun', 'positive'], ['wait staff', 'gorgeous', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Of course this atmosphere is lacking , but what do you expect from a 24 hour bagel place anyways ?"
] | [['atmosphere', 'lacking', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Service was very good and warm ."
] | [['Service', 'good', 'positive'], ['Service', 'warm', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Cornelia Street looks like a Broadway set for West Side Story and the inside of Po is so cool quaint you really ca n't top the setting for a romantic dinner in NYC ."
] | [['dinner', 'romantic', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Food was good and the view of the new york city skiline was terrific even on a foggy rainy day like that of when I went ."
] | [['Food', 'good', 'positive'], ['view', 'terrific', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The food is decent at best , and the ambience , well , it 's a matter of opinion , some may consider it to be a sweet thing , I thought it was just annoying ."
] | [['food', 'decent', 'neutral']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The service was a bit slow , but they were very friendly ."
] | [['service', 'slow', 'negative'], ['service', 'friendly', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Leon is an East Village gem : casual but hip , with well prepared basic French bistro fare , good specials , a warm and lively atmosphere ."
] | [['specials', 'good', 'positive'], ['atmosphere', 'warm', 'positive'], ['atmosphere', 'lively', 'positive'], ['French bistro fare', 'well prepared', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The food is above average for midtown and sligtly better than some of the other Heartland Breweries in the city ."
] | [['food', 'above average', 'positive'], ['food', 'better', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Thius is a must for anyone who loves Shabu-Shabu ."
] | [['Shabu-Shabu', 'loves', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The food was absolutely horrible !"
] | [['food', 'horrible', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Similar to other Indian restaurants , they use the dinner special to attract customers at the door ."
] | [['dinner special', 'attract', 'neutral']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The people with carts of food do n't understand you because they do n't speak English , their job is to give you the delicious food you point at ."
] | [['food', 'delicious', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The crackling calamari salad , which is usually a cheap disaster at many restaurants , is crispy and lightly dressed ."
] | [['crackling calamari salad', 'crispy', 'positive'], ['crackling calamari salad', 'lightly dressed', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Not the greatest sushi place , but excellent for a $ 19.95 all you can eat ."
] | [['sushi place', 'Not the greatest', 'negative'], ['sushi place', 'excellent', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Shockingly easy to throw a group dinner here : simple contract , deposit only to hold the date the entire 2nd fl mezz for our grp of 20 ."
] | [['group dinner', 'easy', 'neutral']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The Thai ice tea was amazingly smooth and yummy !"
] | [['Thai ice tea', 'smooth', 'positive'], ['Thai ice tea', 'yummy', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Drinks way over priced ."
] | [['Drinks', 'over priced', 'negative'], ['priced', 'over', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The main downside to the place is the nazi-like guy running it who constantly complains about the noise level ."
] | [['noise level', 'downside', 'negative'], ['guy', 'downside', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Moderate prices ."
] | [['prices', 'Moderate', 'neutral']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"I think I 've had some the best meals of my life at minnow ."
] | [['meals', 'best', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Most importantly , food is excellent ."
] | [['food', 'excellent', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Great roofdeck , nice group of 30 somethings , but no music , kind of quiet ."
] | [['roofdeck', 'Great', 'positive'], ['music', 'no', 'negative'], ['music', 'quiet', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"However , service was as plain as sesame crusted Salmon I had ."
] | [['service', 'plain', 'neutral'], ['sesame crusted Salmon', 'plain', 'neutral']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"It 's great to go for a quick lunch either alone or with a friend ."
] | [['lunch', 'quick', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The food was mediocre at best but it was the horrible service that made me vow never to go back ."
] | [['food', 'mediocre', 'neutral'], ['service', 'horrible', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"You get what you pay for and with that logic in mind , Spice is a great place to grab some cheap eats and drinks in a beautiful setting ."
] | [['eats', 'cheap', 'positive'], ['drinks', 'cheap', 'positive'], ['setting', 'beautiful', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The service was terrible , we had to wait for everything and ask several of different people for the same thing before we were allowed to be served ."
] | [['service', 'terrible', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Other than being a little crowded and a bit overpriced , the atmosphere is filled with energy ( and the beautiful people of course ) and the food was surprising good !"
] | [['atmosphere', 'energy', 'positive'], ['people', 'beautiful', 'positive'], ['food', 'surprising good', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The music is the best among all the Indian restaurants I have visited ."
] | [['music', 'best', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The bread and lamb chops I had before the meal were quite good , however ."
] | [['bread', 'good', 'positive'], ['lamb chops', 'good', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Rao 's has the best service and atmosphere in NYC ."
] | [['service', 'best', 'positive'], ['atmosphere', 'best', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"They never brought us complimentary noodles , ignored repeated requests for sugar , and threw our dishes on the table ."
] | [['noodles', 'complimentary', 'negative'], ['sugar', 'ignored', 'negative'], ['dishes', 'threw', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Excellent dumplings served amid clean , chic decor ."
] | [['dumplings', 'Excellent', 'positive'], ['decor', 'clean', 'positive'], ['decor', 'chic', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The kitchen however , is almost always slow ."
] | [['kitchen', 'slow', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Cute place , nice wait staff but would never go there again ."
] | [['wait staff', 'nice', 'positive'], ['place', 'Cute', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"people are rude bit again it 's new york !"
] | [['people', 'rude', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"The plain slice is great and if you get toppings , the whole slice is topped with them , not sparsely sprinkled on like some places ."
] | [['plain slice', 'great', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Service was also horrible and the ambience is not that great ."
] | [['Service', 'horrible', 'negative'], ['ambience', 'not that great', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Service is great , takeout is good too ."
] | [['Service', 'great', 'positive'], ['takeout', 'good', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Everything is excellent , the menu is quite extensive , and you eat with a view on both sides of the city ."
] | [['menu', 'extensive', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"For the quality of food , a little too expensive ."
] | [['quality of food', 'expensive', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"Here 's to the fake fish tanks too ..."
] | [['fish tanks', 'fake', 'negative']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"I 've never had bad service and the fish is fresh and delicious ."
] | [['service', 'never had bad', 'positive'], ['fish', 'fresh', 'positive'], ['fish', 'delicious', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"we decided to eat in tea room which was small and cute ."
] | [['tea room', 'small', 'positive'], ['tea room', 'cute', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] | ||
generation | aste-data-v2 | [
"What an amazing meal and experience !"
] | [['meal', 'amazing', 'positive']] | none | Task: Extracting aspect terms ,their opinion words and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples, where each tuple contains the extracted aspect term ,their opinion words and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It has so much more speed and the screen is very sharp ." Output: [['speed', 'much more', 'positive'], ['screen', 'sharp', 'positive']] |
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