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generation | mams | [
"The waiter never came back to check on us or refill coffee, he got one of the orders wrong, and we both left wondering what we were going to eat when we got home."
] | [['staff', 'negative'], ['food', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"You'd expect one to have more dessert options, other than rice pudding."
] | [['miscellaneous', 'positive'], ['food', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"The food is definitely the attraction, but the service has been consistently bad on every visit."
] | [['food', 'positive'], ['service', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"really bad service took half an hour just to get a drink."
] | [['service', 'negative'], ['food', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"But the waiter was very accomodating; he brought extra garlic bread at no charge, was attentive, and apologized profusely for not allowing us to order from the 12-and-under kids' menu."
] | [['staff', 'positive'], ['food', 'positive'], ['menu', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"The night I was there, besides extraordinary food and service, the owners; Carmelo Leotta and Pietro Cinquemani were belting out Mario Lanzi tunes on the Steinway piano."
] | [['food', 'positive'], ['service', 'positive'], ['staff', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"The waiter's knowledge of the menu and ability to make recommendations were ridiculously bad, requests weren't observed effectively, and our water and wine glasses were not kept full."
] | [['staff', 'negative'], ['menu', 'neutral'], ['miscellaneous', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"Food is served simply but quickly with a smile."
] | [['food', 'neutral'], ['service', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"First, the hostess gave us a nasty look when asked if we could eat at the bar, and then just swished her hand to indicate we could seat ourselves."
] | [['staff', 'negative'], ['place', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"I use to always get the turkey club, until recently where I have gotten more bread than turkey."
] | [['place', 'neutral'], ['food', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"Despite the fact that I had called earlier in the day and was told that the place didn't take reservations and there were several empty tables for two on both floors, we were told that there would be a 30 minute wait."
] | [['miscellaneous', 'neutral'], ['place', 'negative'], ['service', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"I must start by stating plainly that I love Jeollado, but it is loud, the service is bad, but the rolls are great and it is the best deal (CHEAP) in town."
] | [['service', 'negative'], ['food', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"we ordered filets, and ny steaks eventhough our waiter kept pushing up to get the porterhouse."
] | [['food', 'neutral'], ['staff', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"What the sparse space lacks in decor it makes up for in atmosphere."
] | [['place', 'negative'], ['ambience', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"The food is ok at best, but the service and the uncomfortable accomidations have such a negetive effect, that one can only wonder why they waited so long for so little."
] | [['food', 'neutral'], ['service', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"There are a few things I can forgive at any popular place: somewhat long waits even with reservations, service staff that mistakenly believes they're there to act haughty rather than serve, and a way over-the-top interior."
] | [['miscellaneous', 'neutral'], ['staff', 'negative'], ['place', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"Inside as we waited momentarily for our table, the bartender made light conversation as he made our drinks."
] | [['miscellaneous', 'neutral'], ['staff', 'positive'], ['food', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"Tuesdays are Wine Lovers nights, where everything on their wine list is half off - it's a great deal."
] | [['miscellaneous', 'neutral'], ['food', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"This Prospect Heights institution, with its old-fashioned soda-fountain type counter, complete with cakes of the day on pedastals w glass covers, attracts a diverse and loyal crowd."
] | [['food', 'negative'], ['miscellaneous', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"The service was a bit inadequate-and be warned they bring your food as it is ready- so be sure to order apps then after being served order entrees."
] | [['service', 'negative'], ['food', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"The waiter messed up my order and we had to hunt down the wait staff to get a second drink."
] | [['staff', 'negative'], ['food', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"We were not offered bread and the host did not apologize until we asked for another update 45 minutes later."
] | [['food', 'neutral'], ['staff', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"A friend asked for cheese on her pasta and the waitstaff, including the manager, REFUSED to give it to her."
] | [['food', 'neutral'], ['staff', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"We had at least 10 of the appetizers on the menu, which all were delicious."
] | [['food', 'positive'], ['menu', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"We asked the waitress very nicely to please change the playlist to something more appropriate for dinner, she chuckled to herself and said sure but never changed it."
] | [['staff', 'negative'], ['food', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"The host was playing god with his headset and reservation list, the bar was packed with horney drunken investment bankers, reservations are a joke and after haplessly sliding the plates at us when serving the food, they couldn't wait to collect the plates until we were done."
] | [['place', 'neutral'], ['miscellaneous', 'negative'], ['food', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"Because our daughters weren't sure what to order, and were a little intimidated at the surroundings (notwithstanding the beautiful simplicity of the decor), they ordered only appetizers while their fathers ordered dinner."
] | [['ambience', 'positive'], ['food', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"We get our beers and then are told from a confuzed waitress that she realized that she can't give us the happy hour drink prices if we are not sitting at the bar."
] | [['food', 'neutral'], ['staff', 'negative'], ['place', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
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'], ['staff', 'negative'], ['food', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"Every course was delicious, including the multiple chef samples, brought to you from the chef throughout your entire meal."
] | [['food', 'positive'], ['staff', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"this has become one of my favorite spots to hang out at the bar and drink martinis, not only because the atmosphere is energetic and lively, but also becasue the staff are so friendly."
] | [['place', 'neutral'], ['food', 'neutral'], ['ambience', 'positive'], ['staff', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"What we were treated to, instead, was snooty attitude by the waiter and the maitre d' and a dinner I couldn't eat."
] | [['staff', 'negative'], ['food', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"We had to ask for water multiple times, there were no paper towels in the bathroom and even after informing a staff person they still were none an hour later."
] | [['food', 'neutral'], ['staff', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"The food is worth it, but I suggest you order delivery, so that you don't have to read old issues of Robb Report while you wait forever in a small and hot room."
] | [['food', 'positive'], ['service', 'neutral'], ['place', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"A blink-and-you-missed, tiny bar lines the lefthand side wall as you enter, which is packed with neighborhood hipsters, but it sadly interferes with the tables filled with dining patrons that are forking out mega bucks for mediocre fare."
] | [['place', 'negative'], ['miscellaneous', 'neutral'], ['price', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"Another quick tell-tale sign is the furniture at the bar and the seating tables."
] | [['food', 'positive'], ['place', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"Take out and delivery is next door and usually will be better if you are looking to get your food faster."
] | [['service', 'neutral'], ['food', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"Ignoring the plain decor, Jo-An is one of the best options for cheap japanese food on the Upper West Side."
] | [['ambience', 'negative'], ['food', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"When my brother and I we had too much pizza in New York, we would like to order something else from the menu."
] | [['food', 'positive'], ['menu', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"We ate at the bar to avoid waiting for a table."
] | [['service', 'negative'], ['miscellaneous', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"It was absolutely delicious to the point where i went back and asked for a variety plate They were so nice to accomodate me and gave me almost everything on the menu to taste from."
] | [['miscellaneous', 'positive'], ['menu', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"After waiting over a month for weekend reservations, I would of rather gone to IL Baggato."
] | [['service', 'negative'], ['miscellaneous', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"If you're looking for nonstop attention, a 20 page wine list and a waiter who puts your napkin on your lap, this is not the place to go."
] | [['food', 'neutral'], ['staff', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"We hunted the waitress to at least pay for the drinks."
] | [['staff', 'negative'], ['food', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"Food : A++ Service : A++ Value : A++ No other steakhouse in Manhattan can beat Ruth's Chris."
] | [['food', 'neutral'], ['service', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"The Scene There are exactly three small tables at this tiny hole in the wall, but for food lovers on a budget, it's heaven."
] | [['miscellaneous', 'neutral'], ['place', 'negative'], ['food', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"Our waiter (a real cutie) had to ask us twice for our entree selections, the coffee orders were wrong and after saying, no, thanks, the pepper man poised his mill above my friend's calamari dish and ground away."
] | [['staff', 'negative'], ['food', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"A dish of chewy smoked seitan evokes Peking duck, while an entree of wide green-tea noodles is served in a tasty faux Bolognese sauce."
] | [['food', 'positive'], ['service', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"I had six different items on the menu (yes, I am a trencherman) and three were simply OUTSTANDING: the steak, the sweetbreads (best I've ever had), and the monkfish liver (also the best I've ever had)."
] | [['menu', 'neutral'], ['food', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"Chef Richard is always eager to please, and will be happy make something special 'off the menu' if you ask."
] | [['staff', 'positive'], ['menu', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"We did not have reservations so we sat at the small bar with the friendly bartender for 10 minutes."
] | [['miscellaneous', 'neutral'], ['staff', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"After we waited nearly 25 minutes for our food (the place wasnt crowded), our waiter forgot some of our order and brought out a salad when we asked for everything to come out all at once."
] | [['food', 'neutral'], ['staff', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"We often come with a baby and the staff is so sweet and kind to her, it is a joy to be there."
] | [['miscellaneous', 'neutral'], ['staff', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"I don't know why the place was almost empty until 8PM, but the food and service were perfect for the price."
] | [['place', 'negative'], ['food', 'positive'], ['price', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"First, the seating people gave me huge attitude and claimed I had not reserved a table at the grotto - and I quote my reservation You are all set for the grotta this saturday."
] | [['service', 'negative'], ['miscellaneous', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"the sushi was good and the service was not as bad as some would have you think but the crowd was more business than hip, more wall st."
] | [['food', 'positive'], ['miscellaneous', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"On the other hand, I never felt rushed to vacate the place at the end of my meal."
] | [['place', 'negative'], ['food', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"There were 6 servers standing around watching me eat but they never asked if I needed anything or even offered me water."
] | [['staff', 'negative'], ['food', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"But once we spoke up (and they figured out what happened with the menus) they re-did the dish in a butter sage sauce, which was awesome."
] | [['menu', 'neutral'], ['food', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"I didn't take a look at the rest menu, but the oysters were fantastic."
] | [['menu', 'neutral'], ['food', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"Took my girlfriend here for dinner on a friday night, we were seated promptly and the service continued to be good for the remainder of the evening."
] | [['food', 'neutral'], ['service', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"The salad looked as though they have a premixed trash bag full of it, and they just dump a heap of it on a plate."
] | [['food', 'neutral'], ['miscellaneous', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"The food quality is good, but the prices are not worth it!"
] | [['food', 'positive'], ['price', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"The waitress didn't seem to know anything about the menu, she forgot our drinks, took away our wine list after I asked to keep it, and then said, I'm sorry, I only slept 3 hours last night."
] | [['staff', 'negative'], ['menu', 'neutral'], ['food', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"Our waiter actually said he would check with the chef, like they might force us to share our food."
] | [['staff', 'negative'], ['food', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"Ok, so the service can be a little spotty, but despite this Cafe Con Leche has good food, and decent prices."
] | [['service', 'negative'], ['food', 'positive'], ['price', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"They've got some of the best french toast you'll ever eat for Sunday brunch, and while their dinner menu hasn't changed much in the past few years, their food is reliable and they I always find something new in their chicken or fish specials, which are usually prepared with a red or white wine-based sauce."
] | [['food', 'positive'], ['menu', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"The service is pleasent, but they did forget to bring my mother in law's appetizer."
] | [['service', 'positive'], ['food', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"Good brunch menu - it was hard to make a decision between the breakfast tacos, huevos rancheros, and salads on the menu although our waiter was happy to rank menu items upon our request."
] | [['menu', 'positive'], ['food', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"The waiter was able to answer any questions I had about the wine or food."
] | [['staff', 'positive'], ['food', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"The crowd is not young, but hey, go somewhere else to get a drink afterward."
] | [['miscellaneous', 'negative'], ['food', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"Trendy decor doesn't make up for the avg food, adequate service and relatively high prices."
] | [['food', 'negative'], ['service', 'positive'], ['price', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"I arrived with one other person at ~8:30 on a Wed night -- the hostess was very kind and showed me the reservation computer which showed that they were completely booked."
] | [['staff', 'positive'], ['miscellaneous', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"the bread they served as we sat down had a pastry-like crunch on the outside and still warm."
] | [['food', 'positive'], ['service', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"Same quality for 1/3 the price and a realistic atmosphere."
] | [['price', 'neutral'], ['ambience', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"Well, literally 7 minutes later we were being served dinner, with no apologies from the server who was too scared to come to our table."
] | [['food', 'neutral'], ['staff', 'negative'], ['miscellaneous', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"The lunch specials are reasonably priced, but I avoid this place when I can only order off the regular menu."
] | [['food', 'neutral'], ['price', 'positive'], ['menu', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"The staff is nice, but they have the awful job of having to sell bland food as amazing treats."
] | [['staff', 'positive'], ['food', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"I ended up wasting $24 on the most expensive dish on the menu."
] | [['food', 'negative'], ['menu', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"We had a late 9:30 pm reservation; when we arrived and went to be seated, there was some type of discrepancy since the hostess was missing in action."
] | [['miscellaneous', 'neutral'], ['staff', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"The wait staff was all hanging at the bar, lounging around."
] | [['staff', 'negative'], ['place', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"The menu was still small, but the quality of food that came out of the kitchen was superb, and the service was not bad at all."
] | [['food', 'positive'], ['place', 'neutral'], ['service', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"Appetizers took their sweet time in coming, and literally about an hour later we had our main dishes which were very small considering the price."
] | [['food', 'negative'], ['miscellaneous', 'positive'], ['price', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"While dining on a delicate lamb carpaccio, and grilled skate wing, the owner explained that due to low lunch-time patronage, they may be discontinuing lunch altogether."
] | [['food', 'neutral'], ['staff', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"The decor was pleasant, but the tables were way too much crowded for a restaurant of this presumptive caliber."
] | [['ambience', 'positive'], ['place', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"The only downfall was that our appetizer never showed up, we were apologized to, and it wasn't on our bill, but we also didn't get the jumbo shrimp we were all craving."
] | [['food', 'negative'], ['price', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"From the enormous menu, we opted for the 3-course dinner specials - chicken soup or clam chowder, although small portions, came with loads of rolls, crackers etc."
] | [['menu', 'positive'], ['miscellaneous', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"Drinks were well priced and the buyback rate was fantastic."
] | [['food', 'neutral'], ['price', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"Despite him not being my designated server, he basically took over for our inexperienced waiter the rest of the dinner."
] | [['staff', 'negative'], ['food', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"The service was great, the chef even gave me a complimentary dish."
] | [['service', 'positive'], ['staff', 'neutral'], ['food', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"Tension filled the air as the chief yelled at a waiter in the middle of the bar while in uniform and drinking."
] | [['miscellaneous', 'negative'], ['ambience', 'neutral'], ['staff', 'neutral'], ['place', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"then the manager gave us lemon juice instead of ceasar dressing for a ceasar salad which ruined the salad."
] | [['staff', 'negative'], ['food', 'neutral'], ['ambience', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"Midway through the meal the waiter came over and said we were being charged $40 a head since there were 7 of us, and they never said that when i made the reservation."
] | [['food', 'neutral'], ['staff', 'negative'], ['miscellaneous', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"I excused myself from my table went downstairs to inform the hostess that I would like to suprise my dinner guest by recognizing his birthday in a very understated way."
] | [['staff', 'positive'], ['food', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"I organized a dinner for 20 and was extremely satisfied with the results."
] | [['food', 'neutral'], ['miscellaneous', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"The only cuisines that will provide comparable quality in the vicinity are Greek (if you know where to look) and Pizza."
] | [['miscellaneous', 'neutral'], ['food', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"The other two entrees that were ordered were very large portions."
] | [['food', 'neutral'], ['miscellaneous', 'positive']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
||
generation | mams | [
"nice place, good service but the price is a little bit more expensive when compare with the area, location and small dishes."
] | [['service', 'positive'], ['place', 'neutral'], ['food', 'negative']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
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generation | mams | [
"We were served by two very rude waitresses who slammed every glass and dish they brought onto the table, and then got so caught up by hanging out at the bar that I eventually had to hunt them down to pay my bill."
] | [['staff', 'negative'], ['food', 'neutral'], ['miscellaneous', 'neutral'], ['place', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
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generation | mams | [
"The hostess kept me waiting 10 minutes (attempting to read seating chart which I assume was in cyrillic) before determining whether she could seat us."
] | [['staff', 'negative'], ['service', 'neutral'], ['place', 'neutral']] | none | Task: Extracting aspect terms' aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect category and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Hostess was extremely accommodating when we arrived an hour early for our reservation." Output: [['staff', 'positive'], ['miscellaneous', 'neutral']] |
Subsets and Splits