task_type
stringclasses 1
value | dataset
stringclasses 1
value | input
sequence | output
stringlengths 40
314
| situation
stringclasses 1
value | label
stringclasses 1
value | extra
stringclasses 1
value | instruction
stringclasses 2
values |
|---|---|---|---|---|---|---|---|
generation | mams | [
"There isn't a huge selection of food, but there's something on the menu for everyone to really enjoy."
] | [['food', 'negative'], ['menu', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The wait staff was all hanging at the bar, lounging around."
] | [['wait staff', 'negative'], ['bar', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"the manager was nice profecional and service was average but the food was not italian, a diner is better, try po'"
] | [['manager', 'positive'], ['service', 'neutral'], ['food', 'negative'], ['diner', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"It took us 20 minutes to get a check, despite many attempts at meaningful eye contact with the wait staff."
] | [['check', 'neutral'], ['wait staff', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Bread bar couldn't get anything right except water refills (good job to the water guy)."
] | [['bar', 'negative'], ['refills', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Everyone says that their round slice is no good, but the Sicilian is so good that I have never tried the round."
] | [['slice', 'negative'], ['Sicilian', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"When we mentioned that we had theatre tickets, the waiter made certain that our dishes were served promptly and courteously."
] | [['waiter', 'positive'], ['dishes', 'neutral'], ['served', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"When you feel like eating again an hour later (portions are small) at least you won't feel as regretful about ordering take-out."
] | [['portions', 'negative'], ['take-out', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The staff were friendly, but the food just wasn't that great."
] | [['staff', 'negative'], ['food', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"For brunch, go for the fluffy raisin challah French toast or Tex-Mex scrambled eggs with fresh tortillas and a side of crisp pork sausage."
] | [['brunch', 'neutral'], ['raisin challah French toast', 'positive'], ['Tex-Mex scrambled eggs', 'positive'], ['crisp pork sausage', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The pieces were small but the fish was good quality and there wasn't a lot of rice to mess with."
] | [['fish', 'neutral'], ['quality', 'positive'], ['rice', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The server spilled beer on the table when he poured it; he dropped ice cubes for another one of our guests and water everywhere else."
] | [['server', 'negative'], ['beer', 'neutral'], ['table', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"To start with - the maitre'd forgot our reservation and then when it came time to sit us down - he told us we only had an hour."
] | [['maitre', 'negative'], ['reservation', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"This review is based on breakfast/brunch: I called on Saturday for a table the next day (knowing it was unlikely that I'd get one) and the reservations person told me that there were no tables available."
] | [['reservations', 'neutral'], ['tables', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The staff forgot my girlfriend's food altogether as she waited for half an hour."
] | [['staff', 'negative'], ['food', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The silvery beige decor reflects the refined air of the store as a whole."
] | [['beige decor', 'positive'], ['air', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Our plates were taken before we finished eating and our waitress sent the hostess to tell us we had to leave to make room for the next table and that we had to pay before we left."
] | [['plates', 'neutral'], ['waitress', 'negative'], ['hostess', 'negative'], ['next table', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The restaurant is loud, the tables are wooden and the service is OK."
] | [['tables', 'neutral'], ['service', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Overall, it is a nice place and if you don't mind possible attitude and the not-so-cheap prices, it is a great place to meet for coffee or drinks (they have a nice selection of that too!"
] | [['prices', 'negative'], ['coffee', 'positive'], ['drinks', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"had to ask the host for the check because the waitress was sitting at another table taking their order."
] | [['host', 'neutral'], ['check', 'neutral'], ['waitress', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"NOTE: Plan ahead, make a reservation and arrive early - parking is tight in the area - valet service is available if all else fails!"
] | [['reservation', 'neutral'], ['service', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Everything from the salmon dip at the bar (while waiting for our table) to the dessert was perfect."
] | [['salmon dip', 'positive'], ['bar', 'neutral'], ['dessert', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The front desk is disorganized (couldn't find my reservation made a week in advance); service is below-par; food is just so so; the most expected dessert turned out to be disappointed."
] | [['front desk', 'negative'], ['reservation', 'neutral'], ['service', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Unfortunately, as we were finishing up, the manager hovered around us and asked us to go to the bar to finish our drinks because there were other people waiting."
] | [['manager', 'negative'], ['bar', 'neutral'], ['drinks', 'neutral'], ['waiting', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The Food Recalling an era of calorie-defying decadence--hard liquor, red meat, cigars and mammoth portions--gluttony is the operative word here."
] | [['Food', 'negative'], ['meat', 'neutral'], ['portions', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The Ceviche was a standout, but everything was above average from the fried plantain and refried beans to the homemade guac and yellow rice."
] | [['Ceviche', 'positive'], ['beans', 'neutral'], ['homemade guac', 'neutral'], ['yellow rice', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The servers were extremely professional, especially considering the entire room needed to be served at the same time."
] | [['servers', 'positive'], ['served', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The food, admittedly, was tasty (we came prepared for high prices and small portions) but I could not believe that with entrees, appetizers, and wine that the servers would rush us through each course."
] | [['food', 'positive'], ['entrees', 'neutral'], ['appetizers', 'neutral'], ['wine', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The ambience is simple, yet elegant and be sure to finish your meal with their famous shlog."
] | [['ambience', 'positive'], ['meal', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"71 Irving's coffee is not only delicious but also consistently delicious."
] | [['Irving', 'neutral'], ['coffee', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The pommes frites are top-notch, and there's an impressive array of Belgian beers to pair with your meal."
] | [['pommes frites', 'positive'], ['Belgian beers', 'positive'], ['meal', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The waiter was singing while taking our order- the food arrived 30 minutes later and the food was good, but the mules Frites were cold, the steak had to be returned twice-the spinach looked like it was grass from Union Square park with hunks of garlic in it-totally Unacceptable."
] | [['waiter', 'neutral'], ['mules Frites', 'negative'], ['spinach', 'negative'], ['garlic', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Half way through the meal we did not have refills on our waters, even though our waiter passed the table many times and he never stopped to check on us or to ask if we were pleased with the entrees."
] | [['waiter', 'negative'], ['table', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"but when tables began to clear up, it seemed polite to seat us comfortably in the dining area instead of having us twist our backs to talk, perched on bulky high chairs at the bar with no place to put our handbags (which the waiter happened to drop and expose contents later on)."
] | [['tables', 'neutral'], ['chairs', 'neutral'], ['bar', 'neutral'], ['waiter', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Most laughable moment of night was when waiter offered me a free drink to make up for th 50 minute appetizer wait."
] | [['waiter', 'positive'], ['drink', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"cool new cocktails, amazing apps, we were seated on Chefs Table for dinner ;) All ten of us were extremely comfortable, where the Chef came personally and we had special dishes that were pre-decided by my cousin for his party."
] | [['new cocktails', 'positive'], ['Chefs Table', 'neutral'], ['dinner', 'neutral'], ['dishes', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"After waiting forty minutes for our brunch, learned that the waitress had -- oops!"
] | [['brunch', 'neutral'], ['waitress', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"i have been waiting for 15 mn ( no food menu , no cocktail menu , no one even say hi to me )."
] | [['waiting', 'neutral'], ['food menu', 'negative'], ['cocktail menu', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"the tables are in the back and the ambience was less to be desired."
] | [['tables', 'neutral'], ['ambience', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The cooks in the front are very friendly and helpful."
] | [['cooks', 'positive'], ['front', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"waitress brought different food."
] | [['waitress', 'neutral'], ['food', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"There was interesting summer dessert, a rubarb-crisp with basil ice cream."
] | [['dessert', 'positive'], ['rubarb-crisp with basil ice cream', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"There is no menu and the waiter never told us how much lunch was, I thought it couldn't be more than $35."
] | [['menu', 'neutral'], ['waiter', 'negative'], ['lunch', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"At first I was shocked by the price, but the excellent and friendly service from our waiter Jack was great and the duck salad was the best ever."
] | [['price', 'negative'], ['service', 'positive'], ['waiter', 'positive'], ['duck salad', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The atmosphere was a+, until a friend and I were rudely interrrupted and rushed out by the attendant at the door when the check was only returned to us just 5 mins."
] | [['attendant', 'negative'], ['check', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Service was inexcusably, excruciatingly slow- it took more than 30 min to get the first round of drinks, by which point our party was ready to walk out."
] | [['Service', 'negative'], ['drinks', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"We told the manager it was not worth a few appetizers to be treated that way and left."
] | [['manager', 'neutral'], ['appetizers', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"We got up from the bar and got pushy with the hostess and finally were seated at an excellent table."
] | [['bar', 'neutral'], ['hostess', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"There are a few chefs who aren't very enthusiastic and not very theatrical, but the end product is always great food."
] | [['chefs', 'negative'], ['food', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"also you dont mind waiting because theres such a buzz around the bar it makes you feel like you are out for drinks."
] | [['waiting', 'positive'], ['bar', 'neutral'], ['drinks', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The food at Mercer Kitchen is great, flavorful and nicely portioned."
] | [['food', 'positive'], ['Kitchen', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Beautiful rooms filled with beautiful people, but expensive for what it is ($68 prix fixe), limited menu, tiny portions, reeeeeeeally slow service, undercooked potatoes with the cod, less than fascinating desserts."
] | [['prix fixe', 'neutral'], ['portions', 'negative'], ['service', 'negative'], ['cod', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The dramatic space complements the food and will wow out-of-towners."
] | [['dramatic space', 'neutral'], ['food', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Bartender, should not be taking dinner orders on napkins."
] | [['Bartender', 'negative'], ['dinner', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The atmosphere was so fun that we decided to have another cocktail at the bar and enjoy the scene."
] | [['atmosphere', 'positive'], ['cocktail', 'neutral'], ['bar', 'neutral'], ['scene', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Besides their unique wood grilled kalbi or bulgoki (bbq) I'm not too fond of their traditional Korean dishes."
] | [['wood grilled kalbi', 'positive'], ['bulgoki (bbq)', 'positive'], ['Korean dishes', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"check it out but i cant narrow down what to order cause Ive always had v good food from pastas to fish!"
] | [['food', 'positive'], ['pastas', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"If I were to spend a decent amount of cash on dinner, I'd go someplace with EXCELLENT, not just really good food."
] | [['dinner', 'neutral'], ['food', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Our dinner was enhanced by a 1999 Pinot Grigio, recmmended by the waitress."
] | [['dinner', 'neutral'], ['waitress', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"I tried that on a Friday, told the guy otside the door that I did not have a reservation and he said, You may as well just leave now."
] | [['guy', 'negative'], ['reservation', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"In a room decorated with beautiful Ottoman antiques and artwork you can pick exceptional mezzes (appetizers) from a selection presented by a super-friendly staff or order lip-smacking dishes (especially if you like lamb) from the menu."
] | [['staff', 'positive'], ['lip-smacking dishes', 'neutral'], ['menu', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Catch a Yankee, Mets game, have a burger and great conversation with the bar keep."
] | [['burger', 'neutral'], ['bar keep', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The extensive menu spans the familiar, with dishes like a tataki of superior-quality beef with an arousing ginger sauce; the rare, with freshly made tofu, its ultra-creamy texture wowing more than its flavor."
] | [['menu', 'positive'], ['beef', 'positive'], ['texture', 'positive'], ['dishes', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"From the intricately decorated plates to the elaborate sushi dishes, it is everything a Japanese dinner should be."
] | [['elaborate sushi dishes', 'neutral'], ['Japanese dinner', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Expect a crowd while waiting, but they seat quickly."
] | [['crowd', 'negative'], ['waiting', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Start off with an expertly mixed cocktail or glass of wine at the beautiful bar."
] | [['mixed cocktail', 'neutral'], ['bar', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"I was lured in by the fact that they have soy options for almost everything that includes dairy on the menu, as well as tofu subs for eggs; It is hard to find mexican tinged food with an optional vegetarian slant."
] | [['menu', 'neutral'], ['slant', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"After the rude waitress took our order we were sipping our drinks when the manager comes over and says we have to leave as the tables are reserved for dinner patrons."
] | [['waitress', 'negative'], ['drinks', 'neutral'], ['manager', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Server's were extremely nice, yet were socializing too much with friends that were having drinks at the bar and it was difficult to get their attention."
] | [['Server', 'positive'], ['bar', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Also, if you order a dinner, plan to have leftovers for the next day because the portions are HUGE, the salad that comes with a meal is large enough to be a meal itself."
] | [['dinner', 'neutral'], ['portions', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Fast and Fresh is also a bodega, and they have the usual offerings: cold drinks in the fridge (Corona and other beers available), bagels, sammiches and salads to order."
] | [['drinks', 'positive'], ['sammiches', 'neutral'], ['salads', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Although the homefried potatoes were not worth the plate space, next time I'll ask to substitute a nice salad."
] | [['plate space', 'negative'], ['salad', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"By the end of the meal, we were shaking hands with/hugging our waiter as we stumbled/rolled out the door."
] | [['meal', 'neutral'], ['waiter', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"I requested the waiter to seat us at a different table, and he was like 'its the same everywhere', and walked off."
] | [['waiter', 'negative'], ['table', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"They had a great wine selection to choose from, the single mixed drinks were a little pricey."
] | [['wine selection', 'positive'], ['single mixed drinks', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"For example, the flavor in each dish didn't really stand out and the spanish rice seemed more like uncle ben's with peas and corn mixed in."
] | [['flavor', 'negative'], ['dish', 'neutral'], ['spanish rice', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Other than the too fruity drinks at the bar which wasn't my cup of tea, everything else was excellent."
] | [['bar', 'neutral'], ['tea', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The Food Scott Ehrlich's cerebral New American food demands both close attention and a certain amount of faith; even when dishes aren't entirely successful, they manage to be compelling."
] | [['New American food', 'neutral'], ['dishes', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"interesting back patio - curious what it would be like for lunch."
] | [['back patio', 'positive'], ['lunch', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"We were a party of six and I had tried almost everything that was on the table, and had I been rich I would have hired the chef to cook only for me!"
] | [['table', 'neutral'], ['chef', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"the atmosphere is trendy, i think it's better to come here for a drink rather than dinner."
] | [['atmosphere', 'positive'], ['drink', 'neutral'], ['dinner', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Great place for either appetizers and drinks at the bar, a romantic dinner or late night partying."
] | [['drinks', 'positive'], ['bar', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The menu can give you price shock but the food, service and drinks are worth every stinking penny."
] | [['menu', 'neutral'], ['price', 'neutral'], ['food', 'positive'], ['service', 'positive'], ['drinks', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"I went there on my 2nd day in New York ever for a quick lunch and ended up staying and chatting with the owners wife and a waiter, Javi for two hours."
] | [['lunch', 'positive'], ['owners', 'neutral'], ['waiter', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The main floor space is lovely, but cavernous (which means *VERY* noisy), so our server was especially patient with us since we couldn't hear each other or her half the time."
] | [['main floor space', 'positive'], ['server', 'positive'], ['time', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"NEED Reservations in order to get past the host by the secret door and the maitre d host downstairs but No trace of snooby attitude here."
] | [['Reservations', 'neutral'], ['maitre', 'positive'], ['host downstairs', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Unlike most whole in the wall Pizza places, you can taste the real Olive Oil in their pizza's."
] | [['real Olive Oil', 'positive'], ["pizza's", 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Cheeses get short shrift by waitstaff, who all seem hurried."
] | [['Cheese', 'neutral'], ['waitstaff', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The food as always was fantastic, and the pricing was moderate although I was not happy about the 18% gratuity being added for parties over 6, especially after the horrible service we recieved."
] | [['food', 'positive'], ['pricing', 'positive'], ['gratuity', 'negative'], ['service', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The best tasting pizza by far, a long long wait for service but well worth it."
] | [['pizza', 'positive'], ['wait', 'negative'], ['service', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The Scene With its yellow slat walls, nautical art and well-worn oak bar, this onetime fishermen's lair is now a snug little neighbor to both South Street Seaport and the glass sequoias of nearby Wall Street."
] | [['Scene', 'neutral'], ['bar', 'positive'], ['glass', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The orange slices signalling the end of the dinner was brought to our table even though we were still eating the main entrees."
] | [['orange slices', 'negative'], ['dinner', 'neutral'], ['entrees', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"I came to have dinner with two of my girlfriends on saturday and had an awsome time."
] | [['dinner', 'neutral'], ['time', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Aperitif was the Casablanca; it was served carelessly with ice chunks large enough to sink the Titanic."
] | [['served', 'negative'], ['ice chunks', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The pretty waitstaff is always pleasant, but service is inconsistent at best."
] | [['waitstaff', 'positive'], ['service', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"They were seating people without reservations who were either friends of the employees or were slipping the hostess $20 to get seated without a reservation."
] | [['reservations', 'neutral'], ['employees', 'negative'], ['hostess', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Knapp Street Pizza also has a variety of pizzas including: eggplant, ziti, chicken parmigiana and so on."
] | [['pizzas', 'positive'], ['eggplant', 'neutral'], ['ziti', 'neutral'], ['chicken parmigiana', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"After dinner the manager grabbed my boyfriend, asked him: Where are you from."
] | [['dinner', 'neutral'], ['manager', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Each entre came with a side of rice and bread (most places you have order the bread separately), dal (lentils) and fresh vegetable."
] | [['dal', 'neutral'], ['vegetable', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"A simple dish like Fattouch or Tabbouleh are turned into the most delicious salad youll ever have."
] | [['dish', 'positive'], ['Fattouch', 'neutral'], ['salad', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |