Input: Asked for wine recommendations and the waitress told me her favorites and described them in detail - I don't encounter this much in NYC.

Output: [['food', 'neutral'], ['staff', 'positive']]

Instruction: 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']]


Input: That being said, they do have a nice lounge area downstairs where you can just hang out, have a seat, and relax (no more waiting out in the cold or at the crowded bar).

Output: [['service', 'negative'], ['place', 'positive']]

Instruction: 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']]


Input: Just expect to wait a good twenty minutes before they take your order (even when the restaurant is half empty), you'll have to ask at least 5 waiters and a manager for coffee before they bring it to you and when they bring your orders out wrong, expect the manager to side with the chef and not you.

Output: [['staff', 'negative'], ['food', 'neutral']]

Instruction: 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']]


Input: We were not seated by a hostess (and as a result didn't receive menus or water for a good while) and were rushed out as the restaurant closed an hour after we arrived.

Output: [['staff', 'negative'], ['menu', 'neutral']]

Instruction: 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']]


Input: Seconds after we permitted our half-eaten fattened goose livers to be whisked away, our waitress materialized, bearing two cold drinks and the chef's profound apologies for the dish - a completely unneccessary but vastly appreciated gesture.

Output: [['staff', 'negative'], ['food', 'neutral'], ['miscellaneous', 'negative']]

Instruction: 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']]


Input: When one of our party brazenly asked to substitue a flavor of gelato for one of the desserts on the menu, the waiter snobbishly told us that, Mario and the chef don't like to do that.

Output: [['food', 'neutral'], ['menu', 'neutral'], ['staff', 'negative']]

Instruction: 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']]


Input: Remember the 80's when you have to wait 1-2 hours for a table even though you have a reservation + the wait staff treated you like the idiot that you are for paying $2-300 per head for this treatment, then you should definately come to experience this jewel!!

Output: [['miscellaneous', 'neutral'], ['staff', 'negative']]

Instruction: 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']]


Input: While the place looks rather small and undecorated, I will definitely go back just for the food.

Output: [['place', 'negative'], ['food', 'positive']]

Instruction: 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']]


Input: I love the complimentary hot salsa and fresh chips that they put on the table !

Output: [['food', 'positive'], ['miscellaneous', 'neutral']]

Instruction: 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']]


Input: After ordering our food was brought to our table very quickly despite the huge crowd.

Output: [['food', 'positive'], ['miscellaneous', 'negative']]

Instruction: 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']]


Input: I guess Mars 2112 keeps the food bland for the family fare, but it only serves to detract from its overall experience.

Output: [['food', 'negative'], ['price', 'neutral']]

Instruction: 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']]


Input: We had a plate of smoked meats, some stinky cheeses (that's how they were described on the menu), delicious marinated anchovies, and crostini with various vegetable toppings.

Output: [['food', 'positive'], ['menu', 'neutral']]

Instruction: 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']]


Input: A good restaurant would have at least comped desert or sent over a round of drinks for such a long wait -- we didn't even get an apology from a manager.

Output: [['food', 'neutral'], ['staff', 'negative']]

Instruction: 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']]


Input: Actually, upon being seated in the tea room, we weren't even offered the tea menus and had to ask for it.

Output: [['place', 'neutral'], ['menu', 'negative']]

Instruction: 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']]


Input: The Scene Behind the often-fogged windows at this small restaurant is a homey atmosphere, full of smiling employees and Filipino families crowded around simple red tables.

Output: [['miscellaneous', 'neutral'], ['ambience', 'positive'], ['staff', 'positive'], ['place', 'positive']]

Instruction: 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']]


Input: The staff was knowledgeable about the cuisine and answered my dining questions with professionalism and style.

Output: [['staff', 'positive'], ['food', 'neutral']]

Instruction: 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']]


Input: I like to drink a variety of teas, but I've had some here that are really weird that I would avoid next time.

Output: [['food', 'positive'], ['miscellaneous', 'neutral']]

Instruction: 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']]


Input: Sit at the bar, order a glass of wine, and grab an appetizer: they'll also bring you olives, parmesan cheese, a huge loaf of delicious bread and 3 dipping sauces.

Output: [['place', 'neutral'], ['food', 'positive']]

Instruction: 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']]


Input: We recently went for dinner with two kids and the staff were very accomodating even without reservations.

Output: [['food', 'neutral'], ['staff', 'positive']]

Instruction: 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']]


Input: Service was slow (20 minutes wait time before they came back with our drinks, not including 10 minute wait for them to take our drink order).

Output: [['service', 'negative'], ['food', 'neutral']]

Instruction: 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']]


Input: But, as I said, it's a dive bar, so it's not someplace you'd take a high-maintenance individual.

Output: [['place', 'neutral'], ['miscellaneous', 'negative']]

Instruction: 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']]


Input: sometimes i've just ordered arepas and empanadas for my meal; other times, i've split a dinner entree and an appetizer with a friend and been satisfied, since the portions are so huge.

Output: [['food', 'neutral'], ['miscellaneous', 'positive']]

Instruction: 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']]


Input: Go there for dinner this time and find it unusually bad in taste and not pleasent service at all.

Output: [['food', 'neutral'], ['service', 'negative']]

Instruction: 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']]


Input: my table of four was not totaly neglected, but there was a lag in how promptly we were being served.

Output: [['miscellaneous', 'negative'], ['service', 'positive']]

Instruction: 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']]


Input: The waiter was constantly puching us to have drinks, he told us that we were not ordering properly and insisted on bringing to the table his recommendations.

Output: [['staff', 'negative'], ['food', 'neutral']]

Instruction: 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']]


Input: Avoid this restaurant on a busy night at all costs -- they have yet to learn how to make the appropriate number of reservations; the front of the house and the managers are amateurs.

Output: [['miscellaneous', 'neutral'], ['staff', 'negative']]

Instruction: 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']]


Input: When we finally had to see the manager because I had lemon juice spilled on me from the waiter- she even took over 10 minutes to come to the table.

Output: [['staff', 'negative'], ['miscellaneous', 'neutral']]

Instruction: 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']]


Input: Worth the trip and the wait (and the higher than average price)?

Output: [['service', 'positive'], ['price', 'negative']]

Instruction: 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']]


Input: The journey may be long and the wait may be longer, but there is nothing that could keep me from this pizza.

Output: [['service', 'negative'], ['food', 'positive']]

Instruction: 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']]


Input: My friend ordered the scallops which were served in a light red sauce that was complemented very nicely with atichoke palms.

Output: [['service', 'neutral'], ['food', 'positive']]

Instruction: 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']]


Input: Service is not particularly warm, but I've gone back again and again (for dinner) over the years on an almost monthly basis.

Output: [['service', 'negative'], ['food', 'neutral']]

Instruction: 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']]


Input: However, another server kept hovering over our table, wanting to take our half-finished plates away.

Output: [['staff', 'negative'], ['miscellaneous', 'neutral']]

Instruction: 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']]


Input: When questioning our server about a certain dish, she kindly brought over the Union Sq.

Output: [['staff', 'positive'], ['food', 'neutral']]

Instruction: 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']]


Input: Instead of going to a fun lounge after dinner, as planned, everyone had paid so much, that we went to a dive bar for the rest of the night for cheap drinks.

Output: [['food', 'positive'], ['place', 'neutral']]

Instruction: 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']]


Input: The Food The versatile Austrian menu, fused with French and American, rewards both high and low-end appetites: rich, cheese-laden onion soup, grilled Gruyere and country ham sandwiches and big-bunned burgers are as satisfying as velvety liver terrine with kumquat-cranberry compote, speck and sausage charcuterie and inexpensive cheese plates.

Output: [['food', 'positive'], ['menu', 'neutral'], ['miscellaneous', 'positive']]

Instruction: 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']]


Input: Bar has, french fries, bunch of different vegs and fruits, sushi, ribs (not great, wait for the waiters that come around with the meat).

Output: [['place', 'neutral'], ['food', 'positive'], ['staff', 'neutral']]

Instruction: 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']]


Input: The waiter seemed astounded that I ordered no wine or alcohol -- just water -- with my meal.

Output: [['staff', 'negative'], ['food', 'neutral']]

Instruction: 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']]


Input: The food and drinks held up to eatery's rep and the service was just as good if not better.

Output: [['food', 'neutral'], ['service', 'positive']]

Instruction: 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']]


Input: Those who choose an omakase (chef's choice) menu will be happily surprised with accents of jalapeno or swaths of homemade sauce cleverly accenting rolls and sushi alike.

Output: [['food', 'positive'], ['staff', 'neutral'], ['menu', 'positive']]

Instruction: 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']]


Input: As for the food, apart from the Chef's Omakase, the appetizers and rolls are just below mediocre for the price they charged.

Output: [['food', 'negative'], ['staff', 'neutral'], ['price', 'negative']]

Instruction: 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']]


Input: Not only did they refuse to give me any milk but they charged me full price ($9) for plain udon noodles - no broth, veggies, or meat just wet noodles in a bowl.

Output: [['price', 'negative'], ['miscellaneous', 'neutral']]

Instruction: 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']]


Input: When the ice cream cake I ordered didnt hold up in their regular freezers temperature, Giovanny immediately had a server run out and got an identical cake in 15 minutes.

Output: [['miscellaneous', 'neutral'], ['staff', 'positive']]

Instruction: 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']]


Input: I went on a Saturday night on the recommendation of the new General Manager, Mike who also did Cheetah Club and Le Souk.

Output: [['food', 'positive'], ['place', 'neutral']]

Instruction: 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']]


Input: I definitely liked the vibe in the restaurant - the food is good with enough variety to please everyone - i'd say the portions were quite skimpy where it counts - meat whether fish or steak- and for those prices this is very irksome.

Output: [['ambience', 'neutral'], ['food', 'positive'], ['miscellaneous', 'negative']]

Instruction: 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']]


Input: At one point, I spilled my water glass--when I informed the waiter of this he said he would clean it up--he never got around to it.

Output: [['miscellaneous', 'neutral'], ['staff', 'negative']]

Instruction: 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']]


Input: Ok, it's not greasy steak and juicy burger good, but it's a light healthy fare, if you are into that kind of stuff.

Output: [['price', 'positive'], ['staff', 'neutral']]

Instruction: 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']]


Input: The food had a somewhat elevated price tag but but fair considering the Nobu origin - The cocktails highly recommended including the spide and lobster roll - we were well plated and did not encounter any arragance from the staff - maybe the other student reviewers are used to cafeteria service.

Output: [['price', 'negative'], ['food', 'positive'], ['miscellaneous', 'positive'], ['staff', 'negative'], ['service', 'negative']]

Instruction: 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']]


Input: The only bad thing was that the third alien was so friendly and took a lot of time at the other tables, so she didn't come see us.

Output: [['miscellaneous', 'positive'], ['place', 'neutral']]

Instruction: 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']]


Input: After being seated outside by the host, a waitress came over and yelled at us for taking a table that belonged to people waiting at the bar.

Output: [['staff', 'negative'], ['service', 'neutral']]

Instruction: 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']]


Input: Summary good service, bad food!

Output: [['service', 'positive'], ['food', 'negative']]

Instruction: 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']]


Input: We were able to get a table right away on Friday night, but we only saw our server twice and he failed to give us the specials, we overheard him tell the table right next to us after we had ordered and were already into our salads.

Output: [['staff', 'negative'], ['food', 'neutral']]

Instruction: 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']]


Input: People will literally spend their entire lunch break waiting and for what - an average fastfood burger.

Output: [['food', 'negative'], ['service', 'neutral']]

Instruction: 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']]


Input: huuge portions, which made it much easier paying the $350 bill.

Output: [['miscellaneous', 'positive'], ['price', 'neutral']]

Instruction: 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']]


Input: The Food Brasserie favorites are prepared by the book: Onion soup gratinee bubbles with a thick layer of Gruyere cheese, and grilled shell steak is served medium-rare, with a side of crisp shoestring potatoes.

Output: [['food', 'positive'], ['service', 'neutral']]

Instruction: 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']]


Input: Unfortunately, as we were finishing up, the manager hovered around us and asked us to go to the bar to finish our drinks because there were other people waiting.

Output: [['staff', 'negative'], ['place', 'neutral'], ['food', 'neutral'], ['service', 'neutral']]

Instruction: 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']]


Input: I adore Zen Palate - and both the formal upstairs dining room and the crowded, counter-style cafe downstair, have their pros and cons.

Output: [['miscellaneous', 'positive'], ['food', 'neutral']]

Instruction: 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']]


Input: The last time I went to the restaurant, the waitress made me wait to take my order, then left me without anything to drink throughout the entire meal.

Output: [['staff', 'negative'], ['food', 'neutral']]

Instruction: 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']]


Input: There's very little on their menu if you're trying to avoid cheese and oil - not many grilled entrees at all.

Output: [['menu', 'neutral'], ['food', 'negative']]

Instruction: 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']]


Input: The entree menu is not diverse, but the items on it are all very good.

Output: [['menu', 'negative'], ['food', 'positive']]

Instruction: 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']]


Input: Our waitress asked us if we wanted anything else, we said only the check - she quickly scooped up our not-yet finished food.

Output: [['staff', 'negative'], ['food', 'neutral']]

Instruction: 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']]


Input: The upside of Zen Palate is the open kitchen, which allows you to watch the cooks at work and removes fears of who only knows what the chefs are doing in the back.

Output: [['miscellaneous', 'neutral'], ['place', 'neutral'], ['staff', 'positive']]

Instruction: 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']]


Input: Waiters had to reach over people to deliver food.

Output: [['staff', 'negative'], ['food', 'neutral']]

Instruction: 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']]


Input: The bar bites weren't anything special (we had calamari and wings, very ordinary), but our dinner was phenomonal, as was our service.

Output: [['place', 'neutral'], ['food', 'positive']]

Instruction: 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']]


Input: It took the waiter over 30 minutes to get our food because the order was misplaced.

Output: [['staff', 'negative'], ['food', 'neutral']]

Instruction: 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']]


Input: This seems to be a big hit and draws a large crowd, so be prepared for a wait.

Output: [['miscellaneous', 'positive'], ['service', 'neutral']]

Instruction: 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']]


Input: 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.

Output: [['miscellaneous', 'neutral'], ['place', 'negative']]

Instruction: 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']]


Input: One of my favorite places to get a cup of tea or to have a casual brunch with the newspaper.

Output: [['food', 'neutral'], ['place', 'positive']]

Instruction: 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']]


Input: (The booths remained unoccupied throughout our meal, unless you count the not-very-busy waitstaff.

Output: [['food', 'neutral'], ['staff', 'negative']]

Instruction: 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']]


Input: 95 all-you-can-eat lunch is tooted as a good deal but a the ambiance is dreadful and you can get a terrific meal, also kosher vegetarian, in peace with service just around the corner for $2 more.

Output: [['food', 'positive'], ['service', 'neutral']]

Instruction: 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']]


Input: The place was very crowded usually it is a good indication that the food would be worth the delay.

Output: [['place', 'negative'], ['food', 'positive']]

Instruction: 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']]


Input: 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.

Output: [['miscellaneous', 'positive'], ['food', 'neutral'], ['price', 'neutral']]

Instruction: 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']]


Input: Our server seemed to be new because he continually had to go back to the kitchen to check on menu items.

Output: [['staff', 'negative'], ['menu', 'neutral']]

Instruction: 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']]


Input: I finally cancelled our order, the waiter came back in 5 min with our plates.

Output: [['staff', 'negative'], ['miscellaneous', 'neutral']]

Instruction: 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']]


Input: The menu has many dishes that one can't find anywhere in the city.

Output: [['menu', 'neutral'], ['food', 'positive']]

Instruction: 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']]


Input: Called to complain and the response was well, we didn't charge you for the falafel sandwich we shorted you.

Output: [['miscellaneous', 'positive'], ['food', 'neutral']]

Instruction: 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']]


Input: I ordered the strip steak medium - the waiter or the chef reversed our requests.

Output: [['food', 'neutral'], ['staff', 'negative']]

Instruction: 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']]


Input: The tasting menu was delivered at a break-neck pace, leaving no time to enjoy the wine or even digest the food.

Output: [['menu', 'positive'], ['food', 'positive'], ['miscellaneous', 'neutral']]

Instruction: 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']]


Input: The owner himself one time came to our table to clear our dishes when our waiter didn't show (a rare occurance, but it was late at night).

Output: [['staff', 'negative'], ['food', 'neutral']]

Instruction: 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']]


Input: The food is really great but the service is absolutely horrible!

Output: [['food', 'positive'], ['service', 'negative']]

Instruction: 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']]


Input: I went back a different night, once again I can't remember which, probably Friday and the place was a ghost town, with a corny DJ and a waitress who couldn't get my friend's drink right after several tries.

Output: [['place', 'neutral'], ['staff', 'negative'], ['food', 'neutral']]

Instruction: 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']]


Input: My next thought was god i could use a few drinks and a bathroom.

Output: [['food', 'negative'], ['place', 'neutral']]

Instruction: 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']]


Input: When asked to compare between two dishes, the server said whatever you like.

Output: [['food', 'neutral'], ['staff', 'negative']]

Instruction: 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']]


Input: Start by enjoying the atmosphere while having a glass of wine at the bar and we you are ready, go and enjoy your food!

Output: [['ambience', 'positive'], ['place', 'neutral']]

Instruction: 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']]


Input: Apparently the same hostess was also trying to kick out a group of women having drinks at a table and giving them a hard time for holding up a table.

Output: [['staff', 'negative'], ['food', 'neutral']]

Instruction: 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']]


Input: Needing a sugar fix, my husband and I walked in here to find a wall to wall adornment of delightful confections.

Output: [['food', 'neutral'], ['miscellaneous', 'positive']]

Instruction: 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']]


Input: One of our diners didn't like her fish and both the waitress and the manager insisted on replacing it.

Output: [['food', 'negative'], ['staff', 'neutral']]

Instruction: 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']]


Input: My friend and I were the ONLY 2 people in the entire place seated for dinner and after sitting there for 15 minutes, I had to walk over to our surly waiter and ask for menus.

Output: [['service', 'neutral'], ['food', 'neutral'], ['staff', 'negative']]

Instruction: 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']]


Input: The tables weren't bussed and they forgot to make my chai tea, which wasn't all that delicious, not was my friend's coffee.

Output: [['place', 'negative'], ['food', 'positive']]

Instruction: 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']]


Input: Don't miss the crema catalana the waiter recommended us for dessert.

Output: [['staff', 'positive'], ['food', 'neutral']]

Instruction: 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']]


Input: The place is a little over-priced for brunch but it is a nice restaurant so that was expected Food (i had the omelette with cheddar, mushrooms and herbs), service, coffee, atmosphere were all fantastic.

Output: [['place', 'negative'], ['food', 'positive'], ['service', 'positive'], ['ambience', 'positive']]

Instruction: 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']]


Input: I went for an early dinner the other night and encountered the worst service i have experienced in a long time.

Output: [['food', 'neutral'], ['service', 'negative']]

Instruction: 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']]


Input: The hostess told me she could accomodate my group without a reservation but we ended up waiting nearly an hour and were seated in the smallest cramped area.

Output: [['staff', 'negative'], ['miscellaneous', 'neutral'], ['place', 'negative']]

Instruction: 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']]


Input: Super friendly neighboorhood atmosphere where even a lady can go alone and have a drink and feel comfortable.

Output: [['ambience', 'positive'], ['food', 'neutral']]

Instruction: 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']]


Input: If coming to Tea and Anthipathy (yea u heard me) during conventional dining hours, expect a good long wait on the curb till tables open up.

Output: [['food', 'neutral'], ['service', 'negative']]

Instruction: 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']]


Input: Thought I didn't have reservations, the hostess politely informed me that it would be a 45 minute wait and we were actually seated in 40.

Output: [['miscellaneous', 'neutral'], ['staff', 'positive']]

Instruction: 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']]


Input: the staff is great, but the food is just ok.

Output: [['staff', 'positive'], ['food', 'negative']]

Instruction: 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']]


Input: And Mondays fajita are half price all night.

Output: [['food', 'neutral'], ['price', 'positive']]

Instruction: 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']]


Input: The staff is very friendly too~  Everything is wonderful about this place except for the bathroom.

Output: [['staff', 'positive'], ['place', 'negative']]

Instruction: 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']]


Input: To make matters worse an hour into our dinner we see a waiter take mojitos to another table.

Output: [['food', 'neutral'], ['staff', 'negative']]

Instruction: 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']]


Input: Bringing a large group on a busy Saturday night ,I was afraid quality of food and service might not be up to par, but we were seated promptly and the service by our waitress was fantastic considering how busy it was.

Output: [['food', 'negative'], ['service', 'positive'], ['staff', 'positive']]

Instruction: 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']]


Input: Fifteen minutes later, when we asked about our drinks, another server went to investigate and found that they'd run out of one of the liqueurs they needed and had gone out to get more -- which is fine, but it would've been nice to know.

Output: [['food', 'neutral'], ['staff', 'negative']]

Instruction: 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']]


Input: We were also seated promptly at the time of our reservation and the service was very quick and professional.

Output: [['miscellaneous', 'neutral'], ['service', 'positive']]

Instruction: 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']]


Input: After 45 mins of waiting in an sans air conditioned bar, we grew tired of paying for over-priced drinks.

Output: [['place', 'neutral'], ['food', 'negative']]

Instruction: 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']]


Input: PLUS the best wine can be found in the bar but they refused to sell us a bottle!!

Output: [['food', 'positive'], ['place', 'neutral']]

Instruction: 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']]


Input: I recently attended a celebratory dinner here and I just want to warn everyone that the service is the worst I have ever experienced!

Output: [['food', 'neutral'], ['service', 'negative']]

Instruction: 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']]


Input: It's very cheap, food is great you can bring your own bottle of wine (saves sooo much money) The waiters will uncork it bring you glasses too !

Output: [['food', 'positive'], ['staff', 'positive'], ['miscellaneous', 'neutral']]

Instruction: 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']]


Input: The Scene Inconspicuous Bottino is an ideal stop for a light lunch or full dinner while gallery-hopping through Chelsea.

Output: [['miscellaneous', 'neutral'], ['food', 'positive']]

Instruction: 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']]


Input: Our lovely waiter sent us off with scones for breakfast the following AM!

Output: [['staff', 'positive'], ['food', 'neutral']]

Instruction: 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']]


Input: Our waiter took his sweet time bringing the menus and telling us the specials and it wasn't until almost 10:15 that we put our order in.

Output: [['staff', 'positive'], ['menu', 'neutral'], ['food', 'neutral']]

Instruction: 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']]


Input: On the menu, there are many inexpensive snacks, drinks and meals to choose from.

Output: [['menu', 'neutral'], ['food', 'positive']]

Instruction: 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']]


Input: The presentation was clever, and the food tasty however the service that accompanied it was so slow it made us feel neglected.

Output: [['miscellaneous', 'positive'], ['food', 'positive'], ['service', 'negative']]

Instruction: 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']]


Input: I especially love the korean dish's they add into there menu consider its 2 for 1 its hard not to resist with asian cuisine being so expensive in all in New York.

Output: [['food', 'positive'], ['menu', 'neutral']]

Instruction: 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']]


Input: While the people here were nice and the service was very good, the food was not very good - it was extremely greasy, the place did not offer alternatives such as egg whites and PAM spray instead of oil, coffee was average Crystal Rock Office Flavored Coffee - not the good coffee.

Output: [['service', 'positive'], ['food', 'negative']]

Instruction: 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']]


Input: SQC is great in the evening, the light is excellent and it's perfect to sit at the bar, eat oysters on the half shell and have a glass of wine.

Output: [['ambience', 'positive'], ['place', 'neutral'], ['food', 'neutral']]

Instruction: 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']]


Input: great trendy spot for a night out but to be honest the food was not worth the cost.

Output: [['miscellaneous', 'positive'], ['food', 'negative']]

Instruction: 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']]


Input: I would have told the wait staff if anyone had asked me if I enjoyed my meal, but no one asked.

Output: [['staff', 'negative'], ['food', 'positive']]

Instruction: 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']]


Input: Upstairs they have an entirely separate hostess, as if it was a different restaurant all together, where after being asked once again if we had a reservation we were seated in a small seat, in the corner, of a practically empty room.

Output: [['staff', 'negative'], ['miscellaneous', 'neutral']]

Instruction: 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']]


Input: And although I've noticed that the prices have gone up a little since they opened, it's still a great menu.

Output: [['price', 'negative'], ['menu', 'positive']]

Instruction: 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']]


Input: Service was a little but flawed, (they brought us beers without the glasses brought the main course out before cleaning off the appetizers) but nothing that would ruin your evening.

Output: [['service', 'negative'], ['food', 'neutral'], ['miscellaneous', 'neutral']]

Instruction: 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']]


Input: With only 2 tables occupied in the whole place, the waitress spent her time behind the bar and only came to help us when we got up and asked her to.

Output: [['place', 'neutral'], ['staff', 'negative']]

Instruction: 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']]


Input: As we attempted to digest our meal and browse the dessert menu, the same staff members approached us to move along our order.

Output: [['food', 'neutral'], ['menu', 'neutral'], ['staff', 'negative']]

Instruction: 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']]


Input: I went there for lunch with co-workers and found the service to be prompt and very friendly.

Output: [['food', 'neutral'], ['service', 'positive']]

Instruction: 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']]


Input: They moved us upstairs to an area where they were setting up for a private party -- we had no server, and had to flag down people setting up for the party to get us drinks, silverware, water, etc.

Output: [['staff', 'negative'], ['food', 'neutral']]

Instruction: 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']]


Input: When we received the bill, we asked the manager to do something about the drinks, considering how poor the service was and her reply was, Well, you got them!

Output: [['price', 'neutral'], ['staff', 'positive'], ['food', 'neutral'], ['service', 'negative']]

Instruction: 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']]


Input: I had a party of 9 reservation and was very disappointed at the service.

Output: [['miscellaneous', 'neutral'], ['service', 'negative']]

Instruction: 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']]


Input: Our apetizers took quite a while to be served, in fact, while all the other tables that sat way after us were being served I asked the waiter what happened to our appetizers, the calamari was tough; The entrees were tasteless and really!, one have to be really bad to mess a simple pasta dish.

Output: [['food', 'negative'], ['place', 'neutral'], ['staff', 'negative']]

Instruction: 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']]


Input: Expect a crowd while waiting, but they seat quickly.

Output: [['miscellaneous', 'negative'], ['service', 'neutral']]

Instruction: 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']]


Input: I must admit the times my family (6 or more) have had dinner there the service seemed to forget us after serving the main course.

Output: [['food', 'neutral'], ['service', 'negative']]

Instruction: 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']]


Input: We were seated promptly, and after an inordinate wait, somebody took our drink order and disappeared for half an hour.

Output: [['service', 'negative'], ['food', 'neutral']]

Instruction: 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']]


Input: Although the atmosphere was lacking, I could definitely recommend a trip to Esca for the fish alone!

Output: [['ambience', 'negative'], ['food', 'positive']]

Instruction: 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']]


Input: Though it might be a wait and the service might leave a little to be desired, anyone that has ever eaten there agrees that the food is worth it.

Output: [['service', 'negative'], ['food', 'positive']]

Instruction: 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']]


Input: Best Baked Ziti in the area, great classic NY pizza.

Output: [['food', 'positive'], ['place', 'neutral']]

Instruction: 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']]


Input: We had reservations, and so did the strangers, and yet the management claimed the other tables were reserved.

Output: [['miscellaneous', 'neutral'], ['staff', 'negative'], ['place', 'neutral']]

Instruction: 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']]


Input: The Scene North Square's discreet, sedate decor appeals to the largley older crowd occupying the dining room whilst a younger set parties in the back bar.

Output: [['miscellaneous', 'positive'], ['ambience', 'positive'], ['place', 'neutral']]

Instruction: 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']]


Input: When I asked the waitress she told me it was because I ordered pancakes.

Output: [['staff', 'negative'], ['food', 'neutral']]

Instruction: 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']]


Input: We went out on the town with the idea that we were going to mingle with the in crowd, you know, go to a place where you pay an outrageous cover charge, have to wear all black to fit in, and pay $12 for a watered-down martini, and if you're lucky, have a good time.

Output: [['food', 'neutral'], ['miscellaneous', 'positive']]

Instruction: 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']]


Input: Much has been made of Island's lack of french fries--space and cost are cited on the menu--but an order of thick crispy salt and vinegar chips almost satisfies the craving.

Output: [['food', 'negative'], ['place', 'neutral'], ['menu', 'neutral']]

Instruction: 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']]


Input: Service was atrocious: appetizers came out 3 minutes after we ordered, and 10 minutes before we finally tracked down the bottle of wine we had ordered, the waiter rushed us from start to finish, we had to repeatedly track down someone to pour us more wine since it wasn't at the table, etc, etc.

Output: [['service', 'negative'], ['food', 'neutral'], ['staff', 'negative']]

Instruction: 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']]


Input: mapQuest before you go and you'll arrive early enough start off at the bar with a fabulous old school cocktail.

Output: [['place', 'neutral'], ['food', 'positive']]

Instruction: 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']]


Input: The white tablecloths covering closely-packed, old wood tables; waitresses with accents and up-turned noses; warm firelight ambience; boisterous crowds drinking wine -- it's all here.

Output: [['staff', 'neutral'], ['food', 'positive']]

Instruction: 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']]


Input: My appetizer of endive and bleu cheese salad was a surprisingly large serving which balanced the striped bass entree (served on a bed of vegetables).

Output: [['food', 'neutral'], ['service', 'positive']]

Instruction: 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']]


Input: When we got there, they refused to seat us because our 4th wasn't there yet-even thought there were only two other people there and we assured them we would order some starters and drinks.

Output: [['miscellaneous', 'negative'], ['food', 'neutral']]

Instruction: 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']]