task_type
stringclasses 1
value | dataset
stringclasses 1
value | input
sequence | output
stringlengths 40
314
| situation
stringclasses 1
value | label
stringclasses 1
value | extra
stringclasses 1
value | instruction
stringclasses 2
values |
---|---|---|---|---|---|---|---|
generation | mams | [
"also you dont mind waiting because theres such a buzz around the bar it makes you feel like you are out for drinks."
] | [['service', 'positive'], ['place', '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 | [
"On each table there's a variety of sauces and spices, which you're encouraged to add to your dish; by the end of the meal you mind up with something completely different in your bowl from you started, but it will still be so satisfying."
] | [['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 chef/owner is always walking around making sure everyone is having a good time."
] | [['staff', '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 | [
"Once the waitress cursed our table for not tipping enough after we had waited an hour to order and another half an hour just to get a drink, on top of this I had to find my own cutlery."
] | [['staff', 'negative'], ['miscellaneous', '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 | [
"I had to physically get out of my seat and find the waitress twice just to ask for more water."
] | [['miscellaneous', '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 | [
"The Food The free chips-and-salsa may suggest casual Tex-Mex cooking, but this menu is a couple notches above."
] | [['food', 'neutral'], ['menu', '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 | [
"After a couple of drinks upstairs before our meal, we slipped downstairs to a nice corner table that offered plenty of privacy in this 'loud' place."
] | [['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 | [
"Chances are the garden out back is hopping, with happy Slopers sipping wines that start less than $20 per bottle and munching on more than a dozen kinds of pressed sandwiches."
] | [['food', '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 waitress was slow and forgot our drinks about 3 times."
] | [['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 other side of the menu offers chicken, veal, and seafood standards, including perfect saltimbocca and a huge, succulent veal chop."
] | [['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 | [
"My steak looked worse than the grizzle and fat John Candy had to finish in the Great Outdoors and the service, while friendly, was incredibly slow even though we were one of only 4 other tables."
] | [['food', 'negative'], ['place', 'positive'], ['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 | [
"Of course we went there with a large party and had to wait a bit to get seated (even with reservations), but we had all our dishes served at the same time and promptly."
] | [['miscellaneous', '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 | [
"Denny's serves a better Grand Slam breakfast--and at a quarter of the price (I paid $21 w/o tip for b-fast--I went back a second time, because the restaurant was highly touted and I thought the first bad experience was a fluke."
] | [['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 | [
"Jackson Diner was my first intro to true Indian food and its been 10yrs since and I cannot go one month without some of this unbelievable food."
] | [['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 | [
"Only reason to go is Eben, the most solicitious bartender in NYC (now) with drink knowledge and ability to spare."
] | [['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 problem was that we waited for a long time to get our waitress, we had to ask the bus boy for refills for drinks, and we waited for a long time to pay for our check."
] | [['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 waitress took about 20 minutes to bring us the menu."
] | [['staff', '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 | [
"You cannot beat having the waiter spooning butter over your steak before you are served!!"
] | [['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 bar's waitresses seem to have a sixth sense for when customers have reached the bottom of a drink or are scratching their forks against empty plates."
] | [['place', '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 | [
"they didn't have to change anything about the menu except add a leg of chicken seperatley and the guy mumbled very rudely that I had already ordered and I should've decided earlier."
] | [['menu', '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 staff were friendly, but the food just wasn't that great."
] | [['staff', '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 | [
"There are no vegetarian items on the menu, but when I requested that the chef make something meat-free for me, he came through with a dish just as delicious and pretty as those my friends were eating."
] | [['menu', 'neutral'], ['staff', 'positive'], ['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 | [
"To be honest, it cost $95 for two adults and a kid (including only two beers for the adults), and the only things worth eating were the raw oysters, information about which the staff was not too sure."
] | [['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 | [
"Our oh-so-chic waitress obstained from half the items on the menu (give me a break) so she couldn't make subjective recommendations."
] | [['staff', '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 | [
"The place is small, the host was friendly and communicative -- we had to wait 45 minutes for a table but they don't take reservations and clearly it's a popular spot."
] | [['place', '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 | [
"Upon his arrival the staff checked in his bags and put them in the storage room, but when my bf asked for a check-in ticket, the host refused to give one and threw the bags back at us."
] | [['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 | [
"Little Italy-style hambone performances by the waiters (actually saying fugettaboutit 4 times during specials) was embarassing and did nothing to hide the fact of of being charged for 4 bottles of wine when we only ordered 3."
] | [['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 best dish is not listed on their menu - it is a special - the flat pasta with truffle mushroom 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 waiter recommended I choose a bottle for the entire meal."
] | [['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 | [
"when our server accidentally spilled some wine at our table, he cleaned it up offered us another glass right away."
] | [['staff', 'positive'], ['food', 'neutral'], ['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 waiter was knowledgable about the menu and spirits, and guided me to all the right items to order given my budget and occasion."
] | [['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 | [
"The small shrimp were dry and rubbery and when I sent the dish back to the kitchen, the waitress returned saying that they use 'frozen shrimp so that is wny they have that texture."
] | [['food', 'negative'], ['place', '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 | [
"After the waiter finally took our order and gave us our food he never came back."
] | [['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 | [
"Even though we complained several times, they brought us the bill before dessert and the manager came to our table to mention he was closing the place for the night."
] | [['price', 'neutral'], ['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 | [
"While getting a reservation upstairs can be a pain, stopping by on Saturday night for a dinner by the window is a fun way to experience Babbo without the long term planning."
] | [['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 | [
"We went at 1 am, we got food, fast service and Excellent drinks."
] | [['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 | [
"I have been going to this restaurant for years, in the past the service was average and the food inconsistant."
] | [['service', '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']] |
||
generation | mams | [
"Service has improved drastically from the old days, you are now seated by a hostess instead of standing behind a nearby table waiting for them to finish."
] | [['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 | [
"Paying that high price, I could have dined at other places with better food and service."
] | [['price', '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 | [
"Upon explaining, the waiter confronted us as we left and spewed a stream of profanities at us as we walked out the door."
] | [['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 | [
"Everything from the salmon dip at the bar (while waiting for our table) to the dessert was perfect."
] | [['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 | [
"The dinner lasted about 3 hours, that waiter continued to refill our water even though we finished the whole meal(including desserts) an hour and half before."
] | [['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 | [
"Setting aside the interminable wait for food, the cheese omelet opened up on the way from the kitchen to the table so that when it arrived, it looked like a large yellow pancake with a slab of uncooked cheese sitting in the middle."
] | [['service', 'negative'], ['food', '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 filet came out and was absolutely delicious, on a bed of julienned vegetables in a balsamic vinagarette sauce."
] | [['miscellaneous', '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 owner and staff are all Japanese as well and that adds to the entire ambiance."
] | [['staff', '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 | [
"There was live music at the bar, which made our wait for a table wonderful (we didn't have reservations)."
] | [['ambience', '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 | [
"We were not offered the dessert menu and that waiter was so rude!~ I was very offended after a good meal."
] | [['menu', '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 | [
"I'm sorry, but the prices at Boi are outrageous for this type of cuisine."
] | [['price', '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 | [
"After the appetizers, which were the only saving grace (BBQ chips, spinach, fried bread), the servers descending and without asking started taking our plates away."
] | [['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 | [
"There isn't a huge selection of food, but there's something on the menu for everyone to really enjoy."
] | [['food', 'negative'], ['menu', 'neutral']] | none | Task: Extracting aspect terms' 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 gave us attitude because we orderred the price fix and not the regular menu."
] | [['staff', 'negative'], ['price', 'neutral'], ['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 waiter made a huge production over what order he should deliver the food, as we all agreed the miso should be eaten with the sushi to aid digestion."
] | [['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 | [
"Would go back when I was ordering off the regular menu and give the steak a try."
] | [['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 | [
"Once we'd finished eating, it was another 15 minutes before we saw someone who would bring us the check - and after running my credit card, the waitress had the audacity to write cash only in the tip portion of the receipt!"
] | [['price', '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 Scene You'll have to knock to enter this hidden dining room, a luxe windowless space featuring four wall-sized murals depicting famous landmarks throughout the seasons, as well as a handful of finery-laden tables."
] | [['miscellaneous', 'neutral'], ['place', '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 | [
"If you consider throwing food at your when they remember good service, then go for it."
] | [['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 | [
"While they adhere to a certain traditionality in serving their teas; eg: samovar for the russian, chinese tea sets for the green, the food labours under no such restrictions and there is nothing ordinary on the menu."
] | [['service', 'neutral'], ['food', 'neutral'], ['menu', '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 worst service I have ever had - entered the restaurant and waited at the door for 5 minutes before deciding to push our way past the extremely small bar to find a waitress."
] | [['service', 'negative'], ['place', 'negative'], ['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 | [
"Hostess finally brought it, saying if we wanted dessert, we could move to another table."
] | [['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 owner promised my party a table and bottle service and took care of it immediately as we all arrived."
] | [['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 | [
"Ignoring the merits of the cuisine (which was par at best), I see no reason why one would pay Da Umberto prices for an okay meal and below average ambience."
] | [['price', '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 | [
"Though there are a handful of Japanese a la carte offerings on the menu, the prix fixe is most popular by far."
] | [['menu', '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 | [
"Get there before 7:30 for dinner or get ready for a really long wait - this place doesn't take reservations."
] | [['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 | [
"Our waiter was very prompt and friendly, but the worst part of the experience was actually after the meal when I was leaving."
] | [['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 food was definitely good, but when all was said and done, I just couldn't justify it for the price (including 2 drinks, $100/person)."
] | [['price', '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 | [
"Went for restaurant week and surprisingly on the menu were entree options of Mahi, Mahi, Kobe Beef ribs, Salmon and some other things in very reasonable portions."
] | [['menu', 'neutral'], ['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 waiter didn't go over the menu choices and at the end of the night we were so fed up we didn't even order dessert."
] | [['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 | [
"This place is good but food and service is presented for the masses, not much personalized service considering the price tag and that it is a full-evening-out type of dinner place."
] | [['food', '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 reads well, and it sounds like the chef knows whats up."
] | [['menu', '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 | [
"the tasty food keeps luring me back, but after placing an order with who i assume must be the same rude sunday manager i keep hearing about, i'm not sure i will again."
] | [['food', 'positive'], ['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 | [
"Portions were certainly substantial for lunch."
] | [['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 | [
"The waiters do not pay any attention to the customers, instead sit at the bar and watch TV."
] | [['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 | [
"Not 5 minutes passed before the server actually tapped us on the shoulder and, I swear to god, ASKED US TO LEAVE because they had a reservation."
] | [['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 | [
"When we asked a waiter for an explanation of the long wait with some many empty tables he had no answer so we asked for the manager."
] | [['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 | [
"You can spend $25 per entree at a much fancier place."
] | [['food', 'neutral'], ['place', '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 | [
"Space gets kind of crowded in there--because it's so popular--but it's worth the wait because the food is very good."
] | [['place', 'negative'], ['service', 'positive'], ['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 | [
"A few years ago I would have rated it much higher, but now - with other better choices such as Candle Cafe, Good Health Cafe and others, the dated menu, crowded atmosphere are spacey service is not the greatest choice."
] | [['menu', 'neutral'], ['ambience', '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 | [
"Grabbed a lunch here on a weekday and it was reasonably priced, well-portioned and generally well-prepared."
] | [['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 | [
"The Setting The exposed brick and tangerine walls, flickering candles and tiny bar cast a formal mood across this cozy Park Slope trattoria, but the high ceiling fans and two glass walls (left open in warm weather) add a casual breeziness."
] | [['ambience', 'neutral'], ['food', 'neutral'], ['place', 'positive'], ['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 | [
"great food, even better price, they also have a dj spinning great music, definitely a must try."
] | [['food', 'positive'], ['price', 'positive'], ['staff', '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 | [
"The waiters didn't clean it up until they brought our dessert."
] | [['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 wait staff is friendly and helpful and kudos to the sushi chef Hero who serves up great dishes on and off the menu and is always wearing a smile."
] | [['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 most expensive dish on the menu was $14!!!"
] | [['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 | [
"A very pretty setting to have a meal, but unfortunately the service and food don't match the atmosphere."
] | [['service', 'negative'], ['food', '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 | [
"Although almost the entire back room had tables available, the owner made people wait to be seated while dragging waitresses around by the arm and loudly telling them they were doing things wrong."
] | [['place', '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 | [
"I visited the Park Slope location on Fifth Avenue, and was impressed with the menu, and that they offered chicken fried steak."
] | [['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 | [
"i had a horrible experience with a waiter while trying to have breakfast friday morning."
] | [['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 | [
"that the waiting is horrific but the food is great."
] | [['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 | [
"He hooted and hollered -- and told every staff person at the bar, not to serve us."
] | [['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 | [
"To finish, the cost of the dinner was over-priced."
] | [['price', '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 caesar salad was a huge bowl of iceberg lettuce, a dressing that wasn't ceasar, 1 crouton and a few slices of thin chicken -- for $12."
] | [['food', 'positive'], ['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 | [
"If you go for lunch as we did, get there when they open as seating is fairly limited."
] | [['food', '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 | [
"The service isn't spectacular and neither is the ambience, but on a lunch hour, all you're looking for is a satisfied stomach."
] | [['service', 'negative'], ['ambience', '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 problem is that if you want anything to continue the meal, if you need an extra minute to go over the menu, or if, horrors, you want the check, you might be in for a lengthy wait."
] | [['menu', '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 | [
"She also has to beg for water refills squeeze her smallish rear-end between crowded tables."
] | [['food', '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 | [
"If you are expecting big portions, go find a Cheesecake Factory."
] | [['miscellaneous', '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 | [
"Pastas include shellfish-stocked linguine with tomato sauce, and an excellent homemade cheese ravioli--all are available in half portions."
] | [['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 | [
"Good location, but tourist-y and poor quality food."
] | [['place', '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 menu does not have much and what we did have - original pizza with pepperoni and sausage was not so great."
] | [['menu', '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']] |
||
generation | mams | [
"Their menu has just been updated featuring new rolls and more choices."
] | [['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']] |
Subsets and Splits