task_type stringclasses 1 value | dataset stringclasses 1 value | input list | output stringlengths 43 597 | situation stringclasses 1 value | label stringclasses 1 value | extra stringclasses 1 value | instruction stringclasses 1 value |
|---|---|---|---|---|---|---|---|
generation | acos | [
"the food was average to above - average ; the french onion soup filling yet not overly impressive , and the desserts not brilliant in any way ."
] | [['food', 'food quality', 'positive', 'average to above - average'], ['french onion soup', 'food quality', 'neutral', 'not overly impressive'], ['desserts', 'food quality', 'negative', 'not brilliant']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"however , go for the ambience , and consider the food just a companion for a trip across the world !"
] | [['ambience', 'ambience general', 'negative', 'NULL'], ['food', 'food quality', 'positive', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the pizza was delivered cold and the cheese was n ' t even fully melted !"
] | [['pizza', 'food quality', 'negative', 'cold'], ['cheese', 'food quality', 'negative', "was n ' t even fully melted"]] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"it looked like shredded cheese partly done - still in strips ."
] | [['NULL', 'food quality', 'negative', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"this has got to be one of the most overrated restaurants in brooklyn ."
] | [['NULL', 'restaurant general', 'negative', 'overrated']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the pizza is overpriced and soggy ."
] | [['pizza', 'food quality', 'negative', 'soggy'], ['pizza', 'food prices', 'negative', 'overpriced']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"yes , they use fancy ingredients , but even fancy ingredients do n ' t make for good pizza unless someone knows how to get the crust right ."
] | [['ingredients', 'food quality', 'positive', 'fancy'], ['pizza', 'food quality', 'negative', 'good'], ['crust', 'food quality', 'negative', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"a big disappointment , all around ."
] | [['NULL', 'restaurant general', 'negative', 'disappointment']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"i think i ' ve had some the best meals of my life at minnow ."
] | [['meals', 'food quality', 'positive', 'best']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the seafood is amazing , there ' s a good wine list , and the ever - changing menu always offers some great surprises ."
] | [['seafood', 'food quality', 'positive', 'amazing'], ['wine list', 'drinks style_options', 'positive', 'good'], ['menu', 'food style_options', 'positive', 'ever - changing'], ['menu', 'food style_options', 'positive', 'great surprises']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the combination of super - fresh ingredients in the dishes are unusual but really delicious ."
] | [['ingredients', 'food quality', 'positive', 'super - fresh'], ['ingredients', 'food quality', 'positive', 'unusual'], ['ingredients', 'food quality', 'positive', 'delicious']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"worth the trip from manhattan ."
] | [['NULL', 'restaurant general', 'positive', 'worth']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"best pastrami i ever had and great portion without being ridiculous ."
] | [['pastrami', 'food quality', 'positive', 'best'], ['portion', 'food style_options', 'positive', 'great']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"my wife had the fried shrimp which are huge and loved it ."
] | [['fried shrimp', 'food style_options', 'positive', 'huge'], ['fried shrimp', 'food quality', 'positive', 'loved']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"as a japanese native , i ' ve lived in the tristate area for over 8 years , but i was just so amazed at this place ."
] | [['place', 'restaurant general', 'positive', 'amazed']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"this place is the most japanese it can ever get ."
] | [['place', 'restaurant miscellaneous', 'positive', 'japanese']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the signs , the specials menus , food , and even all the waitstaff are all totally japanese ."
] | [['signs', 'restaurant miscellaneous', 'positive', 'japanese'], ['specials menus', 'food style_options', 'positive', 'japanese'], ['food', 'food quality', 'positive', 'japanese'], ['waitstaff', 'service general', 'positive', 'japanese']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"this place is worth an one - hour drive ."
] | [['place', 'restaurant general', 'positive', 'worth']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"i am so coming back here again , as much as i can ."
] | [['NULL', 'restaurant general', 'positive', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"leon is an east village gem : casual but hip , with well prepared basic french bistro fare , good specials , a warm and lively atmosphere ."
] | [['leon', 'restaurant general', 'positive', 'casual'], ['leon', 'ambience general', 'positive', 'hip'], ['specials', 'food quality', 'positive', 'good'], ['atmosphere', 'ambience general', 'positive', 'warm'], ['atmosphere', 'ambience general', 'positive', 'lively'], ['french bistro fare', 'food quality', 'positive', 'well prepared']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"my wife and i always enjoy the young , not always well trained but nevertheless friendly , staff , all of whom have a story ."
] | [['staff', 'service general', 'positive', 'enjoy'], ['staff', 'service general', 'positive', 'friendly']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"decent wine at reasonable prices ."
] | [['wine', 'drinks quality', 'neutral', 'decent'], ['wine', 'drinks prices', 'positive', 'reasonable']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"our teenage kids love it , too ."
] | [['NULL', 'restaurant general', 'positive', 'love']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"everytime i decide to try another place on the ues , i get angry that i did n ' t just go to zucchero pomodori ."
] | [['zucchero pomodori', 'restaurant general', 'positive', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"this is by far my favorite place in the neighborhood ."
] | [['place', 'restaurant general', 'positive', 'favorite']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the service is excellent , the decor is great , and the food is delicious and comes in large portions ."
] | [['service', 'service general', 'positive', 'excellent'], ['decor', 'ambience general', 'positive', 'great'], ['food', 'food quality', 'positive', 'delicious'], ['portions', 'food style_options', 'positive', 'large']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"i ' m partial to the gnocchi ."
] | [['gnocchi', 'restaurant general', 'positive', 'partial']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"this place is incredibly tiny ."
] | [['place', 'ambience general', 'negative', 'tiny']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"they refuse to seat parties of 3 or more on weekends ."
] | [['NULL', 'service general', 'negative', 'refuse']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the hostess is rude to the point of being offensive ."
] | [['hostess', 'service general', 'negative', 'rude'], ['hostess', 'service general', 'negative', 'offensive']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the food was bland oily ."
] | [['food', 'food quality', 'negative', 'bland oily']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"i just do n ' t understand all the hype . . ."
] | [['NULL', 'restaurant general', 'negative', 'hype']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"we have been to this place many times , and always have great food , wine , and service ."
] | [['food', 'food quality', 'positive', 'great'], ['wine', 'drinks quality', 'positive', 'great'], ['service', 'service general', 'positive', 'great']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"we were worried we would have trouble getting in , but somehow managed to have a short wait ."
] | [['wait', 'service general', 'positive', 'short']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"as always we had a great glass of wine while we waited ."
] | [['glass of wine', 'drinks quality', 'positive', 'great']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"when we sat , we got great and fast service ."
] | [['service', 'service general', 'positive', 'great'], ['service', 'service general', 'positive', 'fast']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the people that work there are always so friendly you forget you are in new york sometimes ."
] | [['people', 'service general', 'positive', 'friendly']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"this is a fun restaurant to go to ."
] | [['restaurant', 'restaurant general', 'positive', 'fun']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the pizza is yummy and i like the atmoshpere ."
] | [['pizza', 'food quality', 'positive', 'yummy'], ['atmoshpere', 'ambience general', 'positive', 'like']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"but the pizza is way to expensive ."
] | [['pizza', 'food prices', 'negative', 'expensive']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"a large is $ 20 , and toppings are about $ 3 each ."
] | [['NULL', 'food prices', 'negative', 'NULL'], ['toppings', 'food prices', 'negative', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"i went there for lunch and it was not as good as i expected from the reviews i read ."
] | [['lunch', 'food quality', 'negative', 'not as good as i expected']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"sauce was watery and the food did n ' t have much flavor ."
] | [['sauce', 'food quality', 'negative', 'watery'], ['food', 'food quality', 'negative', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"i do n ' t think i would go again ."
] | [['NULL', 'restaurant general', 'negative', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"this place is great ."
] | [['place', 'restaurant general', 'positive', 'great']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the waitress was very patient with us and the food is phenomenal !"
] | [['waitress', 'service general', 'positive', 'patient'], ['food', 'food quality', 'positive', 'phenomenal']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"service was prompt , friendly and great ."
] | [['service', 'service general', 'positive', 'prompt'], ['service', 'service general', 'positive', 'friendly'], ['service', 'service general', 'positive', 'great']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"slightly on the pricey side but worth it !"
] | [['NULL', 'restaurant prices', 'negative', 'pricey'], ['NULL', 'restaurant general', 'positive', 'worth']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"great pizza and fantastic service ."
] | [['pizza', 'food quality', 'positive', 'great'], ['service', 'service general', 'positive', 'fantastic']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"there was a small wait , but shorter than i expected ."
] | [['wait', 'service general', 'positive', 'small'], ['wait', 'service general', 'positive', 'shorter']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"located at the end of a magnificent block ."
] | [['NULL', 'location general', 'positive', 'magnificent']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"very cozy and warm inside . . . . ."
] | [['NULL', 'ambience general', 'positive', 'cozy'], ['NULL', 'ambience general', 'positive', 'warm']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"i will be back !"
] | [['NULL', 'restaurant general', 'positive', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"this is the best sushi in new york city - hands down ."
] | [['sushi', 'food quality', 'positive', 'best']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the place is small and cramped but the food is fantastic ."
] | [['place', 'ambience general', 'negative', 'small'], ['place', 'ambience general', 'negative', 'cramped'], ['food', 'food quality', 'positive', 'fantastic']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"planet thailand has always been a hit with me , i go there usually for the sushi , which is great , the thai food is excellent too ."
] | [['sushi', 'food quality', 'positive', 'great'], ['thai food', 'food quality', 'positive', 'excellent'], ['planet thailand', 'restaurant general', 'positive', 'hit']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"with the great variety on the menu , i eat here often and never get bored ."
] | [['menu', 'food style_options', 'positive', 'great variety']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the atmosphere is n ' t the greatest , but i suppose that ' s how they keep the prices down ."
] | [['atmosphere', 'ambience general', 'negative', "is n ' t the greatest"], ['NULL', 'restaurant prices', 'positive', 'down']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"it ' s all about the food ! !"
] | [['food', 'food quality', 'positive', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"first it took us a long time to find the place ."
] | [['place', 'restaurant miscellaneous', 'negative', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"but when we looked at the menu , there were n ' t a lot of choices , most of them were dumplings in the appetizer section ."
] | [['menu', 'food style_options', 'negative', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"those rolls were big , but not good and sashimi was n ' t fresh ."
] | [['rolls', 'food style_options', 'neutral', 'big'], ['rolls', 'food quality', 'negative', 'not good'], ['sashimi', 'food quality', 'negative', "was n ' t fresh"]] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"they were dry and disgusting , i did n ' t even finish my first piece ."
] | [['NULL', 'food quality', 'negative', 'dry'], ['NULL', 'food quality', 'negative', 'disgusting']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"hurley ' s is like cheers where everyone knows your name and they are actually glad you came ."
] | [['NULL', 'service general', 'positive', 'glad']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"try the crunchy tuna , it is to die for ."
] | [['crunchy tuna', 'food quality', 'positive', 'die for']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"try everything for that matter , it is all good ."
] | [['NULL', 'food quality', 'positive', 'good']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"i have been going there since it opened and i ca n ' t get enough ."
] | [['NULL', 'restaurant general', 'positive', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"first went here to enjoy their garden terrace ."
] | [['garden terrace', 'ambience general', 'positive', 'enjoy']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the food was amazing , and the service was prompt and helpful , but not over - bearing or rushed ."
] | [['food', 'food quality', 'positive', 'amazing'], ['service', 'service general', 'positive', 'prompt'], ['service', 'service general', 'positive', 'helpful'], ['service', 'service general', 'positive', 'not over -'], ['service', 'service general', 'positive', 'or']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the steak tartare is a great bet , they fix it for you at the table ."
] | [['steak tartare', 'food style_options', 'positive', 'great']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"admittedly some nights inside the restaurant were rather warm , but the open kitchen is part of the charm ."
] | [['open kitchen', 'ambience general', 'positive', 'charm'], ['restaurant', 'ambience general', 'negative', 'warm']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"great wine selection , gigondas is worth the price , and the house champagne is a great value ."
] | [['wine selection', 'drinks style_options', 'positive', 'great'], ['gigondas', 'drinks quality', 'positive', 'worth'], ['house champagne', 'drinks prices', 'positive', 'great value']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"it may be a bit packed on weekends , but the vibe is good and it is the best french food you will find in the area ."
] | [['vibe', 'ambience general', 'positive', 'good'], ['french food', 'food quality', 'positive', 'best'], ['NULL', 'ambience general', 'neutral', 'packed']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"have recommended the place to friends , always gets good response ."
] | [['place', 'restaurant miscellaneous', 'positive', 'recommended'], ['NULL', 'restaurant miscellaneous', 'positive', 'good']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"pizza - the only pizza in nyc that should not have additional toppings - the crust tastes like the best , freshly baked bread !"
] | [['pizza', 'food quality', 'positive', 'NULL'], ['crust', 'food quality', 'positive', 'best'], ['crust', 'food quality', 'positive', 'freshly baked']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"i take all my nyc guests to vt ' s ."
] | [["vt ' s", 'restaurant miscellaneous', 'positive', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"not sure where the previous reviewer , lonk , dined , but saul is in a great neighborhood and has great food !"
] | [['neighborhood', 'location general', 'positive', 'great'], ['food', 'food quality', 'positive', 'great']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"i ' ve been there three times and have always had wonderful experiences ."
] | [['NULL', 'restaurant general', 'positive', 'wonderful']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"i ' d highly recommend it for a special occasion - - it provides and intimate setting and nice service ."
] | [['setting', 'ambience general', 'positive', 'intimate'], ['service', 'service general', 'positive', 'nice'], ['NULL', 'restaurant miscellaneous', 'positive', 'recommend']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"i ' m not sure where the other reviewers ate but it seems as if we visited two different restaurants because my friends and i all enjoy mizu very much . . . and we ' re repeat customers ."
] | [['mizu', 'restaurant general', 'positive', 'enjoy']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"even after they overcharged me the last time i was there ."
] | [['NULL', 'service general', 'negative', 'overcharged']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"it ' s delicious !"
] | [['NULL', 'food quality', 'positive', 'delicious']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"moules were excellent , lobster ravioli was very salty !"
] | [['moules', 'food quality', 'positive', 'excellent'], ['lobster ravioli', 'food quality', 'negative', 'salty']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"took my mom for mother ' s day , and the maitre d ' was pretty rude ."
] | [["maitre d '", 'service general', 'negative', 'rude']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"told us to sit anywhere , and when we sat he said the table was reserved ."
] | [['NULL', 'service general', 'negative', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"stepped on my foot on the second time he reached over me to adjust lighting ."
] | [['NULL', 'service general', 'negative', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"tiny dessert was $ 8 . 00 . . . just plain overpriced for what it is ."
] | [['dessert', 'food style_options', 'negative', 'tiny'], ['dessert', 'food quality', 'negative', 'NULL'], ['dessert', 'food prices', 'negative', 'overpriced']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the drinks are always well made and wine selection is fairly priced ."
] | [['drinks', 'drinks quality', 'positive', 'well made'], ['wine selection', 'drinks prices', 'positive', 'fairly priced']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"try their chef ' s specials - - they are to die for ."
] | [["chef ' s specials", 'food quality', 'positive', 'die for']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"service is not exactly five star , but thats not really a big deal ."
] | [['service', 'service general', 'neutral', 'not exactly five star']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"downstairs lounge is always a good attraction"
] | [['downstairs lounge', 'ambience general', 'positive', 'good attraction']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the exotic food is beautifully presented and is a delight in delicious combinations ."
] | [['exotic food', 'food style_options', 'positive', 'beautifully presented'], ['exotic food', 'food quality', 'positive', 'delight']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"it is also extremely well priced ."
] | [['NULL', 'food prices', 'positive', 'extremely well']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the staff is incredibly helpful and attentive ."
] | [['staff', 'service general', 'positive', 'helpful'], ['staff', 'service general', 'positive', 'attentive']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the bar is very well stocked with interesting beers and well priced wines ."
] | [['bar', 'drinks style_options', 'positive', 'well stocked'], ['beers', 'drinks style_options', 'positive', 'interesting'], ['wines', 'drinks prices', 'positive', 'well priced']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"this is one of my favorite restaurants and it is not to be missed ."
] | [['NULL', 'restaurant general', 'positive', 'favorite']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"your friends will thank you for introducing them to this gem !"
] | [['NULL', 'restaurant general', 'positive', 'gem']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"when we stumbled on leon , we thought that we had found quite the gem but , we were certainly wrong ."
] | [['leon', 'restaurant general', 'negative', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"the waitress moved our table practically into the bathroom and when we asked to cancel our dinner orders because we did not want to eat sitting on the toilet , we were told no . . ."
] | [['waitress', 'service general', 'negative', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' | ||
generation | acos | [
"then , to top things off , she dropped used silverware on my boyfriend ' s jacket and did not stop to apologize or clean the mess that was left on clothes ."
] | [['NULL', 'service general', 'negative', 'NULL']] | none | Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] ' |
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