task_type
stringclasses 1
value | dataset
stringclasses 1
value | input
sequence | output
stringlengths 19
428
| situation
stringclasses 1
value | label
stringclasses 1
value | extra
stringclasses 1
value | instruction
stringclasses 2
values |
|---|---|---|---|---|---|---|---|
generation | semeval-2014 | [
"Moderate prices."
] | {'aspect_term': [['prices', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Wow over 100 beers to choose from."
] | {'aspect_term': [['beers', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"THE BIG COMPLAINT: NO TOASTING AVAILABLE."
] | {'aspect_term': [['TOASTING', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The quality of food at this restaurant accompanied by fantastic live jazz makes this place a perfect 10!"
] | {'aspect_term': [['quality of food', 'positive'], ['live jazz', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The plain pizza was soggy and the creative wild mushroom(third generation-Fornini) pizza we had was drenched with truffle oil in the middle( again making it soggy) and nothingon the rest."
] | {'aspect_term': [['plain pizza', 'negative'], ['truffle oil', 'neutral'], ['wild mushroom(third generation-Fornini) pizza', 'positive']], 'aspect_category': [[None, 'negative'], [None, 'neutral'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The selection changes frequently but the basic dishes are always available."
] | {'aspect_term': [['selection', 'neutral'], ['basic dishes', 'neutral']], 'aspect_category': [[None, 'neutral'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"I've had pizza both times and the caprese salad appetizer."
] | {'aspect_term': [['pizza', 'neutral'], ['caprese salad appetizer', 'neutral']], 'aspect_category': [[None, 'neutral'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"While the new restaurant still features much of the same classical furniture that made Tiffin so attractive, the menu has been overhauled."
] | {'aspect_term': [['classical furniture', 'positive'], ['menu', 'negative']], 'aspect_category': [[None, 'positive'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"my wife and i have been going to nyc for years and wouldn't miss roxy,s food is expensive but it's new york!"
] | {'aspect_term': [['food', 'conflict']], 'aspect_category': [[None, 'conflict']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"When you're sitting in their main dining room (which has a spectacular, hand-painted high ceiling) you'd never know there was a world outside."
] | {'aspect_term': [['main dining room', 'positive'], ['ceiling', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Just straight up cheap, good food."
] | {'aspect_term': [['food', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Our server was very helpful and friendly."
] | {'aspect_term': [['server', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Also, specify if you like your food spicy- its rather bland if you don't."
] | {'aspect_term': [['food', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"After dealing with subpar pizza all over the Kensington neighborhood - I've found little toninos."
] | {'aspect_term': [['pizza', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"I understand the area and folks you need not come here for the romantic, alluring ambiance or the five star service featuring a sommlier and a complicated maze of captain and back waiters - you come for the authentic foods, the tastes, the experiance."
] | {'aspect_term': [['ambiance', 'positive'], ['service', 'positive'], ['foods', 'positive'], ['tastes', 'positive'], ['sommlier', 'positive'], ['captain', 'positive'], ['back waiters', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive'], [None, 'positive'], [None, 'positive'], [None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Taxan delicious!"
] | {'aspect_term': [['Taxan', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Spreads and toppings are great - though a bit pricey."
] | {'aspect_term': [['Spreads', 'positive'], ['toppings', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Total hipster-wannabe attitude in an otherwise sweet spot."
] | {'aspect_term': [['spot', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"There is a downside if you're ordering in -- the delivery guys have MAJOR attitude."
] | {'aspect_term': [['delivery guys', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Regardless of whether there are two people or two hundred people ahead of you the hostess will take your name and tell you Five minutes."
] | {'aspect_term': [['hostess', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Great food and the prices are very reasonable."
] | {'aspect_term': [['food', 'positive'], ['prices', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"We had Pam's special fried fish and it was amazing."
] | {'aspect_term': [["Pam's special fried fish", 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Went on a 3 day oyster binge, with Fish bringing up the closing, and I am so glad this was the place it O trip ended, because it was so great!"
] | {'aspect_term': [['place', 'positive'], ['oyster', 'neutral'], ['Fish', 'neutral']], 'aspect_category': [[None, 'positive'], [None, 'neutral'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Late nite omelletes are not good here, there is no variety!"
] | {'aspect_term': [['omelletes', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"It's a shame that a nice, convenient place like the Pink Pony can be so ruined by lousy service."
] | {'aspect_term': [['place', 'positive'], ['service', 'negative']], 'aspect_category': [[None, 'positive'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The food now is inconsistent."
] | {'aspect_term': [['food', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"A Thai restaurant out of rice during dinner?"
] | {'aspect_term': [['rice', 'neutral'], ['dinner', 'neutral']], 'aspect_category': [[None, 'neutral'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"As there were so many to choose from we wandered up and down the street looking in the windows and such noticicing many empty seats ,except at Taj Mahal."
] | {'aspect_term': [['seats', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The service was friendly and the atmosphere was casual."
] | {'aspect_term': [['service', 'positive'], ['atmosphere', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"If you've ever been along the river in Weehawken you have an idea of the top of view the chart house has to offer."
] | {'aspect_term': [['view', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"I wouldn't even have complained at all if the food at least tasted good but the quality of food was crappy, too."
] | {'aspect_term': [['food', 'negative'], ['quality of food', 'negative']], 'aspect_category': [[None, 'negative'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"I liked the food at this quasi-thai restaurant."
] | {'aspect_term': [['food', 'positive'], ['quasi-thai', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Service was prompt, friendly and great."
] | {'aspect_term': [['Service', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Service is average."
] | {'aspect_term': [['Service', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"NO more reservations, expensive tips and annoying stuff."
] | {'aspect_term': [['reservations', 'positive'], ['tips', 'positive'], ['stuff', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The Thai food is good."
] | {'aspect_term': [['Thai food', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Check out the secret back room."
] | {'aspect_term': [['secret back room', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Note that they do not serve beer, you must bring your own."
] | {'aspect_term': [['beer', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"But that wasn't the icing on the cake: a tiramisu that resembled nothing I have ever had."
] | {'aspect_term': [['icing on the cake', 'negative'], ['tiramisu', 'negative']], 'aspect_category': [[None, 'negative'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Service is friendly, prices are good - delivery time was a little slow, but for the way this pizza tastes, I'm willing to overlook it."
] | {'aspect_term': [['Service', 'positive'], ['prices', 'positive'], ['delivery time', 'negative'], ['pizza', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'negative'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The large selection of bruschettas, paninis, tramezzinis keep the palate from stagnating."
] | {'aspect_term': [['bruschettas', 'positive'], ['paninis', 'positive'], ['tramezzinis', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"For two people with tip was less than $25 bucks."
] | {'aspect_term': [['tip', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Of course this atmosphere is lacking, but what do you expect from a 24 hour bagel place anyways?"
] | {'aspect_term': [['atmosphere', 'negative'], ['bagel', 'neutral']], 'aspect_category': [[None, 'negative'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The fried dumplings are GREAT!"
] | {'aspect_term': [['fried dumplings', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Great wine, great food."
] | {'aspect_term': [['wine', 'positive'], ['food', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Looking around, I saw a room full of New Yorkers enjoying a real meal in a real restaurant, not a clubhouse of the fabulous trying to be seen."
] | {'aspect_term': [['meal', 'positive'], ['room', 'neutral'], ['clubhouse', 'negative']], 'aspect_category': [[None, 'positive'], [None, 'neutral'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Incredible food at a very agreable price brings me back just about every other day to this authentic Thai restaurant."
] | {'aspect_term': [['food', 'positive'], ['price', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"You must have the crabmeat lasagna which is out of this world and the chocolate bread pudding for dessert."
] | {'aspect_term': [['crabmeat lasagna', 'positive'], ['chocolate bread pudding', 'positive'], ['dessert', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"We were told that the wait was about twenty minutes and there would be no problem for our 8:00 pm curtain call."
] | {'aspect_term': [['wait', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Winnie and her staff are the best crew you can find serving you."
] | {'aspect_term': [['crew', 'positive'], ['staff', 'positive'], ['serving', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The food is awesome - definitely try the striped bass."
] | {'aspect_term': [['food', 'positive'], ['striped bass', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The food, served in small tasting portions (as an option) is very good with each dish being better than the next."
] | {'aspect_term': [['food', 'positive'], ['served', 'neutral'], ['portions', 'positive'], ['dish', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'neutral'], [None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Last memorial day, I tried to make reservations but was told they were closed that weekend (interesting, but...)."
] | {'aspect_term': [['reservations', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Make reservations but expect to be delayed 15-20 minutes as the hosting staff was having difficulty seating guests who arrived with a reservation because they probably had a lot of walk ins being so close to Time Square."
] | {'aspect_term': [['hosting staff', 'negative'], ['reservations', 'negative'], ['reservation', 'neutral'], ['seating', 'negative']], 'aspect_category': [[None, 'negative'], [None, 'negative'], [None, 'neutral'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The Steak Tartare is a great bet, they fix it for you at the table."
] | {'aspect_term': [['Steak Tartare', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"They never brought us complimentary noodles, ignored repeated requests for sugar, and threw our dishes on the table."
] | {'aspect_term': [['noodles', 'negative'], ['sugar', 'negative'], ['dishes', 'negative']], 'aspect_category': [[None, 'negative'], [None, 'negative'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"I had a huge pastrami sandwich on a roll."
] | {'aspect_term': [['pastrami sandwich', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Overall A oh ya even though there is waiting it is deff worth it"
] | {'aspect_term': [['waiting', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The in-house lady DJ on Saturday nights has outrageously good taste in music, and moreover, takes requests."
] | {'aspect_term': [['music', 'positive'], ['in-house lady DJ', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"We were also seated promptly at the time of our reservation and the service was very quick and professional."
] | {'aspect_term': [['service', 'positive'], ['reservation', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Always popular, always full, always a wait."
] | {'aspect_term': [['wait', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The dim sum however was very good."
] | {'aspect_term': [['dim sum', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Prices are very good."
] | {'aspect_term': [['Prices', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The red sliding doors may be unique but they do not block off the cold air from the outside."
] | {'aspect_term': [['doors', 'conflict']], 'aspect_category': [[None, 'conflict']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"(and I have eaten my share) Which impresses me for having such a large amount of people to serve."
] | {'aspect_term': [['serve', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The waitress was very patient with us and the food is phenomenal!"
] | {'aspect_term': [['waitress', 'positive'], ['food', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The service is good and ambience is good for a date or group outing."
] | {'aspect_term': [['service', 'positive'], ['ambience', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"They don't seem to place an emphasis on specials or fresh ingredients which to me is necessary for good thai."
] | {'aspect_term': [['specials', 'negative'], ['ingredients', 'negative'], ['thai', 'neutral']], 'aspect_category': [[None, 'negative'], [None, 'negative'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"We won't go to this place again for a good meal."
] | {'aspect_term': [['meal', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"We had reservations at 9pm, but was not seated until 10:15pm."
] | {'aspect_term': [['reservations', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The steak was excellent and one of the best I have had (I tasted the butter intitally but in no way did it overwhelm the flavor of the meat)."
] | {'aspect_term': [['steak', 'positive'], ['butter', 'negative'], ['flavor', 'neutral'], ['meat', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'negative'], [None, 'neutral'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Plain and simple it's bad thai food."
] | {'aspect_term': [['thai food', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"I have been there many times, and food is good and consistent."
] | {'aspect_term': [['food', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"We were seated and ignored by waitstaff."
] | {'aspect_term': [['waitstaff', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Anyway, the food is good, the price is right and they have a decent wine list."
] | {'aspect_term': [['food', 'positive'], ['price', 'positive'], ['wine list', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"We were told that they were booked solid and no other table was available."
] | {'aspect_term': [['table', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The prices are wonderfully low."
] | {'aspect_term': [['prices', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The service was attentive without being overbearing and each dish we tried was wonderful from the spring rolls to the cod with pineapple tempura."
] | {'aspect_term': [['service', 'positive'], ['dish', 'positive'], ['spring rolls', 'positive'], ['cod with pineapple tempura', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"There are much better places in NY with better prices."
] | {'aspect_term': [['prices', 'negative']], 'aspect_category': [[None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Hats off to the chef."
] | {'aspect_term': [['chef', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The food was delicious and the waiter was incredibly helpful and attentive (considering we were the only ones there for the first hour)."
] | {'aspect_term': [['food', 'positive'], ['waiter', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The sauce on the pizza is sooo good with garlic and fresh tomatoes and they don't skimp."
] | {'aspect_term': [['garlic', 'positive'], ['fresh tomatoes', 'positive'], ['sauce on the pizza', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"it's a perfect place to have a amanzing indian food."
] | {'aspect_term': [['indian food', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"It's easy to get a table for a large group and you don't get hustled out."
] | {'aspect_term': [['table', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"If you are someone who appreciates simplicity, elegance, and wonderfully presented and tasting seafood and vegetables regardless of portion size, Kai is your place."
] | {'aspect_term': [['seafood', 'positive'], ['vegetables', 'positive'], ['portion size', 'negative']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"I highly recommend Caviar Russe to anyone who wants delicious top grade caviar and fantastic service."
] | {'aspect_term': [['caviar', 'positive'], ['service', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"I ordered a Chicken Teriyaki dish and found that the chicken was extremely dry."
] | {'aspect_term': [['Chicken Teriyaki dish', 'negative'], ['chicken', 'negative']], 'aspect_category': [[None, 'negative'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"I almost hesititate to write a review because the atmosphere was so great and I would hate for it too become to crowded."
] | {'aspect_term': [['atmosphere', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The restaurant was packed at first, so we waited at the bar for about 20 minutes before we were seated."
] | {'aspect_term': [['bar', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"We shared a bottle of sake, an order of edamames, and she had the sushi plate while I had the sashimi."
] | {'aspect_term': [['bottle of sake', 'neutral'], ['edamames', 'neutral'], ['sushi plate', 'neutral'], ['sashimi', 'neutral']], 'aspect_category': [[None, 'neutral'], [None, 'neutral'], [None, 'neutral'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The wait staff is pleasant, fun, and for the most part gorgeous (in the wonderful aesthetic beautification way, not in that she's-way-cuter-than-me-that-b@#$* way)."
] | {'aspect_term': [['wait staff', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Wine list selection is good and wine-by-the-glass was generously filled to the top."
] | {'aspect_term': [['Wine list selection', 'positive'], ['wine-by-the-glass', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Don't dine at Tamarind for the vegetarian dishes, they are simply not up to par with the non-veg selections."
] | {'aspect_term': [['vegetarian dishes', 'negative'], ['non-veg selections', 'positive']], 'aspect_category': [[None, 'negative'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"My wife had the fried shrimp which are huge and loved it."
] | {'aspect_term': [['fried shrimp', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"It is so easy to get a reservation at a top place in NYC with a week's notice."
] | {'aspect_term': [['reservation', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The best part of the experience was knowing that the manager (a bubbly, friendly young woman with a great smile) truly cared about how we were doing."
] | {'aspect_term': [['manager', 'positive']], 'aspect_category': [[None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The calamari comes with an incredible sauce, and the duck noodles are yummy as well."
] | {'aspect_term': [['calamari', 'positive'], ['sauce', 'positive'], ['duck noodles', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"The menu is Prix Fixe, so be prepared to spend at least $60 per person, but it is Well worth itsuperb food."
] | {'aspect_term': [['menu', 'negative'], ['food', 'positive'], ['Prix Fixe', 'neutral']], 'aspect_category': [[None, 'negative'], [None, 'positive'], [None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Wine list is not huge but def well selected."
] | {'aspect_term': [['Wine list', 'conflict']], 'aspect_category': [[None, 'conflict']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
||
generation | semeval-2014 | [
"Instead of wasting your time here: SUPPORT RESTAURANTS THAT CARE ABOUT FOOD."
] | {'aspect_term': [['FOOD', 'neutral']], 'aspect_category': [[None, 'neutral']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |