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
|
[
"my friends settled for rice dishes , but we came back the following day to try the dim sum , which was good . . . not outstanding , but good ."
] |
[['dim sum', 'food quality', 'neutral', 'good'], ['dim sum', 'food quality', 'neutral', 'good'], ['dim sum', 'food quality', 'neutral', 'not outstanding']]
|
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 ate out in the back patio , which is worth it as it ' s cool and the music is hear well there ."
] |
[['back patio', 'ambience general', 'positive', 'worth'], ['back patio', 'ambience general', 'positive', 'cool'], ['music', 'ambience general', 'positive', '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
|
[
"overall , excellent restaurant !"
] |
[['restaurant', 'restaurant general', 'positive', 'excellent']]
|
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 good ."
] |
[['food', '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
|
[
"the place was nice and calm ."
] |
[['place', 'ambience general', 'positive', 'nice'], ['place', 'ambience general', 'positive', 'calm']]
|
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 service was a bit slow ."
] |
[['service', 'service general', 'negative', 'slow']]
|
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 buffet had a nice selection ."
] |
[['buffet', 'food style_options', 'positive', 'nice']]
|
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 average or above including some surprising tasty dishes ."
] |
[['food', 'food quality', 'positive', 'average or above'], ['dishes', 'food quality', 'positive', 'surprising'], ['dishes', 'food quality', 'positive', 'tasty']]
|
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 also very good ."
] |
[['service', 'service general', '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 would go 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
|
[
"i got an excellent piece of cheesecake and we had several other nice pastries ."
] |
[['cheesecake', 'food quality', 'positive', 'excellent'], ['pastries', 'food quality', 'positive', 'nice']]
|
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 would recommend roxy ' s for that , but not for their food ."
] |
[['food', 'food quality', 'negative', 'recommend'], ['NULL', 'food quality', '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
|
[
"my son and his girlfriend both wanted cheeseburgers and they were huge !"
] |
[['cheeseburgers', 'food style_options', 'neutral', 'huge']]
|
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 , they were too big for the bun ."
] |
[['NULL', 'food style_options', 'negative', 'too big']]
|
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
|
[
"consequently , their burgers fell apart in their hands and made such a mess that they did ' nt feel like finishing them ."
] |
[['burgers', 'food style_options', 'negative', 'fell apart']]
|
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
|
[
"also they were $ 15 each !"
] |
[['NULL', '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 had a huge pastrami sandwich on a roll ."
] |
[['pastrami sandwich on a roll', 'food style_options', 'neutral', 'huge']]
|
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 was $ 14 not really bad for a pound of pastrami - but it did n ' t have much taste - i ' ve had better for less elsewhere !"
] |
[['NULL', 'food prices', 'neutral', 'not really bad'], ['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 place is really trendi but they have forgotten about the most important part of a restaurant , the food ."
] |
[['food', 'food quality', 'negative', 'forgotten'], ['place', 'ambience general', 'positive', 'trendi']]
|
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 last two times i ordered from here my food was soo spicy that i could barely eat it , and the spice took away from the flavor of the dish ."
] |
[['food', 'food quality', 'negative', 'spicy'], ['spice', '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
|
[
"and the tom kha soup was pathetic ."
] |
[['tom kha soup', 'food quality', 'negative', 'pathetic']]
|
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
|
[
"if you want good authentic thai this place is not the place to go ."
] |
[['thai', 'food quality', 'negative', 'good'], ['thai', 'food quality', 'negative', 'authentic']]
|
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 went here for lunch a couple of weeks ago on a saturday , and i was thoroughly impressed with the food ."
] |
[['food', 'food quality', 'positive', 'impressed']]
|
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 pesto pizza was excellent , thin - crust pizza with a nice amount of spicy italian cheese that i ' d never heard of before ."
] |
[['pesto pizza', 'food quality', 'positive', 'excellent'], ['spicy italian cheese', 'food quality', 'positive', 'nice']]
|
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
|
[
"conveniently located too , being right on bedford ave ."
] |
[['NULL', 'location general', 'positive', 'conveniently']]
|
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 back garden sitting area is very pleasant , where you can see their personal herb garden ."
] |
[['back garden sitting area', 'ambience general', 'positive', 'pleasant']]
|
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 had the lobster sandwich and it was fantastic ."
] |
[['lobster sandwich', '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
|
[
"my husband said he could ' ve eaten several more , the portion was fine for me he even exclaimed that the french fries were the best he has had ."
] |
[['portion', 'food style_options', 'positive', 'fine'], ['french fries', 'food quality', 'positive', 'best'], ['NULL', '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
|
[
"we had the scallops as an appetizer and they were delicious and the sauce was wonderful ."
] |
[['scallops', 'food quality', 'positive', 'delicious'], ['sauce', 'food quality', '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
|
[
"we waited at the bar and had martinis that were just right ."
] |
[['martinis', 'drinks quality', 'positive', 'right']]
|
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
|
[
"love the food ."
] |
[['food', 'food quality', '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
|
[
"it ' s the only place you can get yummy authentic japanese comfort food ."
] |
[['japanese comfort food', 'food quality', 'positive', 'yummy'], ['japanese comfort food', 'food quality', 'positive', 'authentic']]
|
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
|
[
"and you ca n ' t beat the prices ."
] |
[['NULL', 'restaurant prices', '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
|
[
"i ' ve lived in ny for 5 years and this place has it all ."
] |
[['place', '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
|
[
"great food , good size menu , great service and an unpretensious setting ."
] |
[['food', 'food quality', 'positive', 'great'], ['menu', 'food style_options', 'positive', 'good size'], ['service', 'service general', 'positive', 'great'], ['setting', 'ambience general', 'positive', 'unpretensious']]
|
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 dishes offered were unique , very tasty and fresh from the lamb sausages , sardines with biscuits , large whole shrimp to the amazing pistachio ice cream ( the best and freshest i ' ve ever had ) ."
] |
[['dishes', 'food quality', 'positive', 'unique'], ['dishes', 'food quality', 'positive', 'tasty'], ['dishes', 'food quality', 'positive', 'fresh'], ['lamb sausages', 'food quality', 'positive', 'NULL'], ['sardines with biscuits', 'food quality', 'positive', 'NULL'], ['large whole shrimp', 'food quality', 'positive', 'NULL'], ['pistachio ice cream', 'food quality', 'positive', 'amazing']]
|
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 glad i was introduced to this place and this is a rare gem in ny ."
] |
[['place', 'restaurant 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
|
[
"the freshest , best variety , and the fastest delivery ."
] |
[['delivery', 'service general', 'positive', 'fastest'], ['NULL', 'food quality', 'positive', 'freshest'], ['NULL', 'food style_options', '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
|
[
"also very inexpensive ."
] |
[['NULL', 'restaurant prices', 'positive', 'inexpensive']]
|
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 was excellent and the food was delicious ."
] |
[['service', 'service general', 'positive', 'excellent'], ['food', '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
|
[
"we are very particular about sushi and were both please with every choice which included : ceviche mix ( special ) , crab dumplings , assorted sashimi , sushi and rolls , two types of sake , and the banana tempura ."
] |
[['sushi', 'food quality', 'positive', 'particular'], ['ceviche mix ( special )', 'food quality', 'positive', 'please'], ['crab dumplings', 'food quality', 'positive', 'please'], ['assorted sashimi', 'food quality', 'positive', 'please'], ['sushi', 'food quality', 'positive', 'please'], ['rolls', 'food quality', 'positive', 'please'], ['two types of sake', 'food quality', 'positive', 'please'], ['banana tempura', 'food quality', 'positive', 'please']]
|
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
|
[
"definitely a great spot for a nice occasion or date ."
] |
[['spot', 'restaurant miscellaneous', '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
|
[
"average to good thai food , but terrible delivery ."
] |
[['thai food', 'food quality', 'positive', 'average to good'], ['delivery', 'service general', 'negative', 'terrible']]
|
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 waited over one hour for food ."
] |
[['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
|
[
"they were very abrupt with me when i called and actually claimed the food was late because they were out of rice ."
] |
[['NULL', 'service general', 'negative', 'abrupt']]
|
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 thai restaurant out of rice during dinner ?"
] |
[['thai restaurant', '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
|
[
"the food arrived 20 minutes after i called , cold and soggy ."
] |
[['food', 'food quality', 'negative', 'cold'], ['food', 'food quality', 'negative', 'soggy'], ['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
|
[
"this is a wonderful place on all stand points especially value ofr money ."
] |
[['place', 'restaurant prices', 'positive', 'wonderful'], ['place', '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
|
[
"an excellent service"
] |
[['service', 'service general', 'positive', 'excellent']]
|
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 greeted promptly by the waiter who was very nice and cordial ."
] |
[['waiter', 'service general', 'positive', 'nice'], ['waiter', 'service general', 'positive', 'cordial'], ['NULL', 'service general', 'positive', 'promptly']]
|
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
|
[
"she was very helpful in suggesting us drinks and helped us in ordering a lot of good dishes since we knew nothing about indian food ."
] |
[['dishes', 'food quality', 'positive', 'good'], ['NULL', 'service general', 'positive', 'helpful']]
|
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 looked very appetizing and delicious since it came on a variety of fancy plates ."
] |
[['food', 'food style_options', 'positive', 'appetizing'], ['food', 'food style_options', '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
|
[
"we ended our great experience by having gulab jamun ( dessert ) recommended by the waiter ."
] |
[['NULL', 'restaurant general', 'positive', 'great'], ['gulab jamun ( dessert )', '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
|
[
"i thanked my friend who recommended me this restaurant and will certainly recommend it to others ."
] |
[['restaurant', 'restaurant general', '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
|
[
"service here was great , food was fantastic ."
] |
[['service', 'service general', 'positive', 'great'], ['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
|
[
"guacamole + shrimp appetizer was really great , we both had the filet , very good , did n ' t much like the frites that came with , but the filet was so good , neither of us cared ."
] |
[['guacamole + shrimp appetizer', 'food quality', 'positive', 'great'], ['filet', 'food quality', 'positive', 'good'], ['frites', '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
|
[
"will absolutely visit again ."
] |
[['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
|
[
"you can not go wrong with this place ."
] |
[['place', 'restaurant general', 'positive', 'wrong']]
|
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 is outstanding and the service is quick , friendly and very professional ."
] |
[['food', 'food quality', 'positive', 'outstanding'], ['service', 'service general', 'positive', 'quick'], ['service', 'service general', 'positive', 'friendly'], ['service', 'service general', 'positive', 'professional']]
|
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
|
[
"always a nice crowd , but never loud ."
] |
[['crowd', 'restaurant miscellaneous', 'positive', 'nice'], ['crowd', 'restaurant miscellaneous', 'positive', 'never loud'], ['NULL', 'ambience general', 'positive', 'never loud']]
|
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
|
[
"go here ."
] |
[['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
|
[
"good for dates or with friends ."
] |
[['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
|
[
"i am reluctant to write because i would not want my jem of a pizza place to become overcrowded ."
] |
[['pizza place', 'restaurant miscellaneous', 'positive', 'overcrowded']]
|
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 , it is jus too good to not praise it ."
] |
[['NULL', 'restaurant general', '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
|
[
"by far , the best pizza in manhattan ."
] |
[['pizza', '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 crust is thin , the ingredients are fresh and the staff is friendly ."
] |
[['crust', 'food quality', 'positive', 'thin'], ['staff', 'service general', 'positive', 'friendly'], ['ingredients', 'food quality', 'positive', '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
|
[
"the menu has so many fish items and oysters ."
] |
[['menu', 'food style_options', '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 fish was really , really fresh ."
] |
[['fish', 'food quality', 'positive', '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
|
[
"we all agreed that mare is one of the best seafood restaurants in new york ."
] |
[['mare', 'restaurant general', '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
|
[
"i stumbled upon this great pizzeria as i explored my new neighborhood ."
] |
[['pizzeria', '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
|
[
"all of the pizzas are terrific and the price is even better !"
] |
[['pizzas', 'food quality', 'positive', 'terrific'], ['NULL', 'restaurant prices', 'positive', 'better']]
|
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 highly recommend the sophia pizza ."
] |
[['sophia pizza', 'food quality', '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
|
[
"it ' s to die for !"
] |
[['NULL', '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 food was mediocre at best but it was the horrible service that made me vow never to go back ."
] |
[['food', 'food quality', 'negative', 'mediocre'], ['service', 'service general', 'negative', 'horrible']]
|
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
|
[
"immediately after we paid , the waiter took the money and said , okay , you guys are outta here ."
] |
[['waiter', '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
|
[
"so rushing us out was absolutely unnecessary !"
] |
[['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
|
[
"for the people who want great food plus great service , roxy is a place to avoid !"
] |
[['food', 'food quality', 'negative', 'great'], ['service', 'service general', 'negative', '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 first time the sushi was outstanding , the second time it was a little bland ."
] |
[['sushi', 'food quality', 'negative', 'outstanding'], ['sushi', 'food quality', 'negative', 'bland']]
|
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 sure i ' ll return for a final judgement tho ."
] |
[['NULL', 'restaurant general', 'neutral', '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 blond wood decor is very soothing , the premium sake is excellent and the service is great ."
] |
[['blond wood decor', 'ambience general', 'positive', 'soothing'], ['premium sake', 'drinks quality', 'positive', 'excellent'], ['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
|
[
"mizu is the japenese find in grammercy ."
] |
[['mizu', '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
|
[
"while their kitchen food is delicious , their sushi is out of this world ."
] |
[['kitchen food', 'food quality', 'positive', 'delicious'], ['sushi', 'food quality', 'positive', 'out of this world']]
|
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
|
[
"mizu is home to creative and unique rolls not to found anywhere else ."
] |
[['rolls', 'food style_options', 'positive', 'creative'], ['rolls', 'food style_options', 'positive', 'unique']]
|
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 only is the cuisine the best around , the service has always been attentive and charming ."
] |
[['cuisine', 'food quality', 'positive', 'best'], ['service', 'service general', 'positive', 'attentive'], ['service', 'service general', 'positive', 'charming']]
|
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
|
[
"warning : you may find it difficult to dine at other japanese restaurants after a visit to mizu !"
] |
[['mizu', 'restaurant general', 'positive', 'difficult']]
|
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 entree was bland and small , dessert was not inspired ."
] |
[['entree', 'food quality', 'negative', 'bland'], ['entree', 'food style_options', 'negative', 'small'], ['dessert', 'food quality', 'negative', 'not inspired']]
|
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 expected quite a bit more from such an expensive menu ."
] |
[['menu', 'food prices', 'negative', 'expensive'], ['menu', '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
|
[
"the view is spectacular , and the food is great ."
] |
[['view', 'location general', 'positive', 'spectacular'], ['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
|
[
"wonderful strawberry daiquiries as well !"
] |
[['strawberry daiquiries', 'drinks quality', '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
|
[
"definitely worth the trip to battery park city !"
] |
[['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
|
[
"one of my favorite places in manhattan ."
] |
[['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
|
[
"authentic taiwanese food that ' s cheap . . . what more could you ask for ?"
] |
[['taiwanese food', 'food quality', 'positive', 'authentic'], ['taiwanese food', 'food prices', 'positive', 'cheap']]
|
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
|
[
"( besides that there should be more restaurants like it around the city ) ."
] |
[['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
|
[
"the cold appetizer dishes taste like the way i remember them to taste when i was growing up in taiwan ."
] |
[['cold appetizer dishes', '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
|
[
"delicious simple food in nice outdoor atmosphere ."
] |
[['food', 'food quality', 'positive', 'delicious'], ['food', 'food style_options', 'positive', 'simple'], ['outdoor atmosphere', 'ambience general', 'positive', 'nice']]
|
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
|
[
"kind , attentive wait staff ."
] |
[['wait staff', 'service general', 'positive', 'kind'], ['wait 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
|
[
"i really like both the scallops and the mahi mahi ( on saffron risotto yum ! ) ."
] |
[['scallops', 'food quality', 'positive', 'like'], ['mahi mahi ( on saffron risotto', 'food quality', '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
|
[
"my friend devoured her chicken and mashed potatos ."
] |
[['chicken and mashed potatos', 'food quality', 'positive', 'devoured']]
|
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
|
[
"delicious crab cakes too ."
] |
[['crab cakes', '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
|
[
"even if the food was n ' t this good , the garden is a great place to sit outside and relax ."
] |
[['garden', 'ambience general', 'positive', 'great'], ['food', 'food quality', 'negative', "n ' t this 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']] '
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.