task_type stringclasses 1
value | dataset stringclasses 1
value | input list | output stringlengths 40 314 | situation stringclasses 1
value | label stringclasses 1
value | extra stringclasses 1
value | instruction stringclasses 2
values |
|---|---|---|---|---|---|---|---|
generation | mams | [
"If you hate waiting for a table, then get take-out just around the corner next door."
] | [['waiting', 'negative'], ['table', 'neutral'], ['door', '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 ... | ||
generation | mams | [
"I've eaten at this Zen Palate location a few times, and each time have had the same reaction- I feel the food's sub-par, but decide to give it another chance and order something else."
] | [['location', '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 ... | ||
generation | mams | [
"My next thought was god i could use a few drinks and a bathroom."
] | [['drinks', 'negative'], ['bathroom', '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 ... | ||
generation | mams | [
"I had to try the sweet tea, which was served in a plastic cup at room temperture."
] | [['sweet tea', 'positive'], ['served', 'neutral'], ['cup', '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 ... | ||
generation | mams | [
"I had to chase down our waitress for the food and the bill."
] | [['waitress', '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 ... | ||
generation | mams | [
"the sushi is so-so, the 70s orange-themed atmosphere is 2000ish, and there is no reason for the staff's attitude."
] | [['atmosphere', 'neutral'], ['staff', 'negative'], ['attitude', '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 ... | ||
generation | mams | [
"I found that the food variety was great, and the waitress was very accommodating to my vegan boyfriend describing all items' ingredients and how you may request more of what YOU like, creating a unique experience."
] | [['food variety', 'positive'], ['waitress', 'positive'], ['ingredients', '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 ... | ||
generation | mams | [
"Be careful with the waiting list- the hostess skipped over our party on the list as we sat waiting for a table, for over an hour."
] | [['hostess', '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 ... | ||
generation | mams | [
"we literally waited for over 45 minutes to finally getting our sushi which was pretty simple rolls."
] | [['sushi', 'positive'], ['rolls', '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 ... | ||
generation | mams | [
"We were rudely told by the waiter that chips are only available at the bar."
] | [['waiter', 'negative'], ['chips', 'neutral'], ['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 ... | ||
generation | mams | [
"You cannot beat having the waiter spooning butter over your steak before you are served!!"
] | [['waiter spooning butter', 'positive'], ['steak', '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 ... | ||
generation | mams | [
"My roommate says she has had good food here at night, at the bar."
] | [['food', '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 ... | ||
generation | mams | [
"The service was average and the tables are really close together (but who cares when the food is this good)."
] | [['tables', '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 ... | ||
generation | mams | [
"the setup is cool with pool table and chill area in front and dining on side and back."
] | [['area', 'positive'], ['dining', '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 ... | ||
generation | mams | [
"It's a quiet crowd but if you just want to relax, get a bottle of wine and some great tapas, this is the place."
] | [['bottle of wine', 'neutral'], ['tapas', '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 ... | ||
generation | mams | [
"I ordered a dirty martini that was not dirty at all-and when I asked the waitress to make it dirtier, instead of reshaking/making it at the bar, she broght me over some olive juice in a cup!?"
] | [['martini', 'negative'], ['waitress', 'neutral'], ['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 ... | ||
generation | mams | [
"Small dishes, a bit pricier than you'd pay in Miami or LA, but the atomsphere is on the sexy side (however pared down) and its cozy."
] | [['dishes', 'negative'], ['Miami', '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 ... | ||
generation | mams | [
"I go generally with one friend but on occasion have popped in with more, if a table is not possible, as they are booked solid every night, well, the food and service is just as over-the-top amazing at the bar or in the lounge as it is in the dining room."
] | [['table', 'neutral'], ['service', '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 ... | ||
generation | mams | [
"You can get a completely delish martini in a glass (that's about 2 1/2 drinks) for $8."
] | [['martini in', 'positive'], ['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 ... | ||
generation | mams | [
"The collard greens were tasty, but in too much liquid that made it seem more like a soup."
] | [['collard greens', 'positive'], ['soup', '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 ... | ||
generation | mams | [
"The greens were ok, but probably were too salty for those who don't hail from the south (I do) or don't have access to authentic southern cooking."
] | [['greens', 'neutral'], ['southern cooking', '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 ... | ||
generation | mams | [
"Mussels in bread pot, homemade ravioli filled with things like swordfish and truffles, orange-ginger shrimp and pizzas from a wood-burning oven in back are all recommended."
] | [['Mussels in bread pot', 'positive'], ['homemade ravioli filled', 'positive'], ['swordfish', 'neutral'], ['truffles', 'neutral'], ['pizzas', '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 ... | ||
generation | mams | [
"The bar area was fairly crowded but service remained friendly and efficient."
] | [['bar area', '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 ... | ||
generation | mams | [
"However, our one and only complaint was when I received my drink I gave my coupon to our waiter, he returned minutes later to tell me that it could not be used in the dining room, only at the lounge or at the bar."
] | [['drink', 'neutral'], ['waiter', 'negative'], ['dining room', 'neutral'], ['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 ... | ||
generation | mams | [
"The atmosphere is classy with salsa music in the background."
] | [['atmosphere', 'positive'], ['salsa music', '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 ... | ||
generation | mams | [
"Tasting menu a mixed bag: lobster soup amuse with grapefruit intriguing, but marred by excess bitterness as prepared."
] | [['menu', 'positive'], ['mixed bag', 'neutral'], ['lobster soup', '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 ... | ||
generation | mams | [
"The atmosphere is nice - it's all dark wood with the bar in the front."
] | [['atmosphere', '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 ... | ||
generation | mams | [
"The New Prospect Cafe pretends to be fancy and the prices indicate fancy, but the food is mediocre at best and the service is terrible."
] | [['prices', 'positive'], ['food', '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 ... | ||
generation | mams | [
"Even some of the staff that was working that night was served their dinner before my table got our dinner entrees."
] | [['staff', 'negative'], ['dinner 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 ... | ||
generation | mams | [
"When we sat down - our waiter did not know what to recommend - neither food nor wine."
] | [['waiter', 'negative'], ['food', '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 ... | ||
generation | mams | [
"The Food The fun factor is high on the menu of experimental, multi-ethnic shared plates."
] | [['Food', 'positive'], ['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 ... | ||
generation | mams | [
"We had reservations, and so did the strangers, and yet the management claimed the other tables were reserved."
] | [['reservations', 'neutral'], ['management', 'negative'], ['tables', '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 ... | ||
generation | mams | [
"And Mondays fajita are half price all night."
] | [['fajita', 'neutral'], ['price', '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 ... | ||
generation | mams | [
"After being treated like we were at Nobu by the hostess, our waitress brought us our check before we even asked for it and denied us a 2nd round of drinks because."
] | [['hostess', 'negative'], ['waitress', '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 ... | ||
generation | mams | [
"There is always a fun and friendly crowd at the bar, mostly locals, if you just want to come by for happy hour."
] | [['crowd', '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 ... | ||
generation | mams | [
"Unfortunately, the food along with the unhelpful service doesn't make up for the atmosphere."
] | [['food', 'neutral'], ['service', 'negative'], ['atmosphere', '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 ... | ||
generation | mams | [
"I did not find the wait staff to rude at all, how involved do you really want them in your meal right?"
] | [['wait staff', '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 ... | ||
generation | mams | [
"In April, the service was fair but again, the food was at best only warm."
] | [['service', 'positive'], ['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 ... | ||
generation | mams | [
"not only were we waiting for half an hour with reservations, once we got seated we waited another 15+ minutes for the waiter to come and take out drink menu."
] | [['waiting', 'neutral'], ['reservations', 'neutral'], ['menu', '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 ... | ||
generation | mams | [
"The wine list is good, and overall it is not too expensive, though, and the atmosphere is very dark and brick-covered, much like any damp basement."
] | [['wine list', 'positive'], ['atmosphere', '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 ... | ||
generation | mams | [
"The cranberry sauce was unrecognizable in taste."
] | [['cranberry sauce', 'negative'], ['taste', '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 ... | ||
generation | mams | [
"The waiter was attentive but not overbearing and gave good recommendations on the cocktails."
] | [['waiter', 'positive'], ['cocktails', '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 ... | ||
generation | mams | [
"All in all, I would not recommend for the food or drinks but I guess I can't expect better for the prices."
] | [['drinks', 'negative'], ['prices', '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 ... | ||
generation | mams | [
") Scores of employees walking around, but no one seems to clear a plate or offer more drinks."
] | [['employees', '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 ... | ||
generation | mams | [
"Within 10 minutes of being seated at our table, the hostess asked us if we could move."
] | [['seated', 'neutral'], ['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 ... | ||
generation | mams | [
"before we could say anything, one waiter picked it up while another brought a knife to our table on a platter."
] | [['waiter', 'negative'], ['table', 'neutral'], ['platter', '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 ... | ||
generation | mams | [
"Low-fat and low-carb options (such as flatbread) lure in health-conscious diners, while everyone else can sink their teeth into warm, crispy baguettes piled with mesquite chicken or smoked turkey, Philly cheese steaks and more."
] | [['options', 'positive'], ['mesquite chicken', 'neutral'], ['smoked turkey', 'neutral'], ['Philly cheese steaks', 'neutral'], ['diners', '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 ... | ||
generation | mams | [
"Order a beer and then sit and wait for the steamy, salty soup dumplings that burst with a snap."
] | [['beer', 'neutral'], ['soup dumplings', '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 ... | ||
generation | mams | [
"He may be a little hard to take, but he knows how to run a kitchen and put together a creative menu."
] | [['kitchen', 'neutral'], ['menu', '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 ... | ||
generation | mams | [
"If you can get a corner table you can see the entire room while eating in elegance."
] | [['corner table', 'neutral'], ['room', '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 ... | ||
generation | mams | [
"We were seated next to some obnoxious women who bogarted the server's time and attention, so he bought us drinks."
] | [['server', '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 ... | ||
generation | mams | [
"If you order the platters all of your typical Indian side items are included so it is a good value."
] | [['platters', 'neutral'], ['Indian side items', '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 ... | ||
generation | mams | [
"Eventually another waiter cleaned up the table and allowed us to sit there."
] | [['waiter', 'positive'], ['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 ... | ||
generation | mams | [
"I liked the overall setting A LOT and it was only improved by the fact that our waiter was pleasant and attentive even though we only ordered entrees (no drinks, no appetizers, no coffee)."
] | [['setting', 'positive'], ['waiter', 'positive'], ['drinks', 'neutral'], ['appetizers', 'neutral'], ['coffee', '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 ... | ||
generation | mams | [
"the space is very comfortable - they don't rush you - you don't have a server holding your bill in their hand asking if you'd like anything else."
] | [['space', 'positive'], ['bill', '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 ... | ||
generation | mams | [
"Its not kept frozen, but close to room temperature so you get the real taste of the ice cream and not just the ice."
] | [['taste', 'positive'], ['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 ... | ||
generation | mams | [
"THE SERVICE WAS CIVILIZED INFORMATIVE;WE NEVER FELT RUSHED , EVEN THOUGH PATRONS WERE WAITING TO BE SEATED."
] | [['SERVICE', 'positive'], ['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 ... | ||
generation | mams | [
"We had to wait 30-45mins after we were already seated to get our orders in, waited what felt like an hour to get our food, was not given utensils with our dinner (had to wait for that too), and had the wrong dessert brought to our table and never remedied even after we brought it to the waiter's attention."
] | [['food', 'neutral'], ['dinner', 'neutral'], ['dessert', 'negative'], ['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 ... | ||
generation | mams | [
"Sure, you can sit back and watch the celebrites pour in, or sit at the bar, and watch true masters create old world sushi, and new world rolls."
] | [['bar', 'neutral'], ['rolls', '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 ... | ||
generation | mams | [
"None of us were able to get drinks in a timely fashion, and the bartender was EXTREMELY rude to us."
] | [['drinks', 'neutral'], ['bartender', '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 ... | ||
generation | mams | [
"For appetizers, we shared summer rolls and spring rolls - they were good, not great."
] | [['appetizers', 'neutral'], ['spring rolls', '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 ... | ||
generation | mams | [
"He is a gracious chef who comes to the table and greets the guests."
] | [['chef', 'positive'], ['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 ... | ||
generation | mams | [
"Just look at all those people waiting outside to feat in an unadorned space of cramped shared tables?"
] | [['waiting', 'neutral'], ['space', '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 ... | ||
generation | mams | [
"The appetizers were tasty and the snail ravioli quite adventurous, however the main courses were quite bland and even though the steak was featured with mustard sauce it really was just plain stone ground mustard."
] | [['appetizers', 'positive'], ['snail ravioli', 'positive'], ['mustard sauce', '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 ... | ||
generation | mams | [
"There is no pretention here, no tofu, no foie gras, and no vegi burger, just a straight forward burger with great meat cooked perfectly."
] | [['tofu', 'neutral'], ['foie gras', 'neutral'], ['meat', '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 ... | ||
generation | mams | [
"On the menu, unusual offerings like mango salad, Kashmiri chicken and whole fish cooked in mustard sauce refute the strip's infamous reputation for one-sauce-fits-all cooking."
] | [['menu', 'neutral'], ['mango salad', 'positive'], ['Kashmiri chicken', 'positive'], ['mustard sauce', 'neutral'], ['cooking', '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 ... | ||
generation | mams | [
"I asked one waitress if I could change tables and she didn't say no outright."
] | [['waitress', 'negative'], ['tables', '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 ... | ||
generation | mams | [
"The Scene Though this looks like any other sushi counter, with purple vinyl booths and a koi pond in the small dining room, there are glimpses of superiority."
] | [['sushi counter', 'neutral'], ['dining room', '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 ... | ||
generation | mams | [
"I highly recommend the potato and cheese pierogis and the polish kielbasa entreesbut the real stars on the menu are the sides."
] | [['potato and cheese', 'positive'], ['polish kielbasa', 'positive'], ['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 ... | ||
generation | mams | [
"I have to say the seating at the bar and dining areas are very nice and the service is exceptional."
] | [['seating', 'neutral'], ['dining areas', 'positive'], ['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 ... | ||
generation | mams | [
"The waitstaff is nice, but is pushy and seemed irritated when we did not order an a la carte side vegetable (we already had a cheese plate, appetizers and ordered 2 entrees)."
] | [['la carte side vegetable', 'neutral'], ['appetizers', 'neutral'], ['waitstaff', '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 ... | ||
generation | mams | [
"The East Side is a little fancier and larger, but still a Wonderland with the same great food, scones, cakes and more - a dinner menu and drinks like Mar-TEA-nis."
] | [['food', 'positive'], ['scones', 'positive'], ['cakes', 'positive'], ['drinks', 'neutral'], ['Mar-TEA-nis', '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 ... | ||
generation | mams | [
"It's also a good place to unwind after dinner and have some coffee and cake."
] | [['dinner', 'neutral'], ['coffee', 'positive'], ['cake', '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 ... | ||
generation | mams | [
"The menus took about 15 minutes to come, the menu were already set up for Valentines day the salad was good my dinner was a soup of about 2 or three shrimps, THAT'S IT!"
] | [['menus', 'neutral'], ['day', 'neutral'], ['dinner', 'neutral'], ['soup', 'neutral'], ['shrimps', '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 ... | ||
generation | mams | [
"For as busy as this place is, the owner could afford to hire additional servers."
] | [['owner', 'neutral'], ['servers', '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 ... | ||
generation | mams | [
"Just make sure you make reservations a few days in advance because there aren't a lot of tables."
] | [['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 ... | ||
generation | mams | [
"The food is good and cheap BUT the attitudes of the bartender and wait staff are almost unbearable."
] | [['food', 'positive'], ['bartender', '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 ... | ||
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."
] | [['served dinner', 'neutral'], ['server', '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 ... | ||
generation | mams | [
"The food is average, at best (I have been repeatedly underwhelmed by the mediocre fare) and the service is only good if Elaine is within range."
] | [['fare', '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 ... | ||
generation | mams | [
"overall the food we ordered (pancit luglug, chicken adobo, romy's ribs, lumpia shanghai, a bowl of green soup that resembles the polyjuice potion harry potter drank) was not screaming with taste."
] | [['food', 'negative'], ['ribs', 'neutral'], ['potion', '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 ... | ||
generation | mams | [
"She walked away in a huff, and had the BUSBOY pass on the same message: you can't order coffee because you've already paid (have these people never heard of someone changing their mind?"
] | [['BUSBOY', 'negative'], ['coffee', '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 ... | ||
generation | mams | [
"Their pre-theater prix fixe was a cut above the rest: appetizer stand out - Duck breast with mushroom canelloni."
] | [['appetizer', 'positive'], ['Duck breast with mushroom canelloni', '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 ... | ||
generation | mams | [
"The Food The menu seems quirky, but upon a closer look ingredients are familiar and made into appealing combinations, with influences from Maine to the Mediterranean."
] | [['Food', 'positive'], ['menu', 'positive'], ['ingredients', '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 ... | ||
generation | mams | [
"However, the wait was worth it, the food was just great - make sure you have the tuna."
] | [['wait', 'positive'], ['food', 'positive'], ['tuna', '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 ... | ||
generation | mams | [
"THE DECOR HAS BEEN UPDATED TO A FULL BLOWN RESTAURANT BUT THE QUALITY AND THE QUANTITY HASN'T CHANGED."
] | [['DECOR', 'positive'], ['QUALITY', '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 ... | ||
generation | mams | [
"Wine has had C-Tails at the bar(SUPRISE!!!)"
] | [['Wine', '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 ... | ||
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."
] | [['appetizer', 'negative'], ['bill', 'neutral'], ['jumbo shrimp', '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 ... | ||
generation | mams | [
"Our cocktails were ok but at ridiculous dance club prices."
] | [['cocktails', 'positive'], ['prices', '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 ... | ||
generation | mams | [
"Meanwhile, the bartender continued to pour champagne from his reserve after we had finished our bottle and we enjoyed an amuse of turnip soup with pureed basil, gratis."
] | [['bartender', 'positive'], ['champagne', 'neutral'], ['turnip soup with pureed basil', '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 ... | ||
generation | mams | [
"It's listed under appetizers, but it's definitely filling enough to have as a meal."
] | [['appetizers', 'neutral'], ['meal', '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 ... | ||
generation | mams | [
"Our dinner took over two hours because of the slow service."
] | [['dinner', '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 ... | ||
generation | mams | [
"Service is wonderful- I've sat there for over 3 hours at dinner and never felt rushed to leave."
] | [['Service', 'positive'], ['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 ... | ||
generation | mams | [
"My first and LAST visit included a waiter telling me We're casual- pour your own wine and then handing me a check with a place for the Captain's tip."
] | [['waiter', 'negative'], ['wine', 'neutral'], ['Captain', 'neutral'], ['tip', '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 ... | ||
generation | mams | [
"In my experience, Olympic Flame, a traditional NYC Greek coffee shop, offers good value for one's money in terms of food cost but passable to rude service, depending on who you get."
] | [['food cost', '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 ... | ||
generation | mams | [
"The price is cheap - 5 dumplings for $1."
] | [['price', 'positive'], ['dumplings', '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 ... | ||
generation | mams | [
"the waiters had a really hard time remembering to bring drinks, and when they did they were not what was ordered."
] | [['waiters', '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 ... | ||
generation | mams | [
"Curries are another menu highlight, with several choices including Pa Nang with coconut milk, lemongrass leaves, onions and peppers, and Gang Paa with hot and spicy chili sauce."
] | [['menu', 'positive'], ['Nang with coconut milk', 'neutral'], ['onions', '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 ... | ||
generation | mams | [
"brunch menu had nice variety to choose from, miniblueberrrymuffins better than some bakeries, included in their price mimosa/bloody mary's were nice."
] | [['brunch menu', 'positive'], ['price', '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 ... | ||
generation | mams | [
"I was intimidated by the menu - which is entirely in Italian, and the wine list - which strictly lists Italian wines, but my waiter - Nathan - was quick to help."
] | [['menu', 'positive'], ['wine list', 'positive'], ['Italian wines', '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 ... | ||
generation | mams | [
"cause, I was bored by the club scene and too overdressed for the local bar."
] | [['club scene', '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 ... |
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