Datasets:

syannn

/

Spammer_sample

like 0

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Fantastic experience.  You know the meal is terrific when the whipped mashed potatoes are as good as anything on the table.  The only regret is not going more often.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.32; Sentiment_Subjectivity (from 0 to 1): 0.8 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Well done, Mario. As much as I HATE crowds and long wait times, I'd come back. Now, if you can get past the swarm of tourists and annoying people, and if you have the patience to wait for a table at the different restaurants, the food is five stars. We went on a snow day, so we got lucky and were able to get seated within a few minutes at the pasta/pizza restaurant and the veggie restaurant. The vesuvio pasta was DELICIOUS. My  biggest issue with it was that it wasn't cooked enough-- the pasta was more hard than "al dente". But the flavor was fantastic, and the bread came with this balsamic GLAZE that tasted like pure happiness. We shimmied on over to the veggie section shortly after and had the butternut squash antipasto. Wow. We were surprised. Think eggplant parm but without eggplant and not smothered in sauce. The thinly sliced butternut squash discs were lightly breaded. The squash was crispy, and the lightly dressed salad on top with pine nuts and squash shavings was incredible. I love this place. The advice is to come here on a slow night (snow day + Tues night) to really enjoy the experience.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.142813051; Sentiment_Subjectivity (from 0 to 1): 0.596296296 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This Place is Way Overated. I had Better Brunch Elsewhere. The Only Plus is the Bread Basket ( Arepas?) That arrive before the Meal. and The Unlimited Sangria Bar. I had the vaca Frita, which is Essentially Steak and eggs and i Kid you not the steak was the size of my Index Finger and already pre made., i couldnt order it medium well. for 18.00 i expected More. Free Sangria Bar or not. the Service was Good, The Sangria was Good and the Place is Cute. I will probably be back and Order Something Different and give it a Second Chance.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.266666667; Sentiment_Subjectivity (from 0 to 1): 0.525 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Food was great, and portioned well for the price. My mom and I got a Thai iced tea, jasmine tea, an appetizer, two entrees, and a dessert to go (we were stuffed by then) for 35. The waitress was also very nice and accommodating to the fact that we did not know a lot of the things on the huge menu. She even explained how to heat up the dessert at home and add the sauce and stuff. It was pretty crowded but it's a large place so for a table of two, there wasn't a wait. Definitely coming back to try more.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.368035714; Sentiment_Subjectivity (from 0 to 1): 0.634821429 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Good meal in a nice, comfortable environment. We made reservations on a Saturday afternoon for the next evening, and we found a table for 3 at 6:15, so it wasn't terribly hard to get slightly off-peak-hour seating here. We started with the beef carpaccio--the beef was tasty, but the entire dish was a bit odd to me with the french fries and the eggs, and I'm not sure the pairing worked for me. My entree was the arctic char, which was tasty but was overshadowed by the spicy chutney, which had more flavor (and almost overpowered the rest of the dish). I tried some of my friend's whole grilled branzino, which was actually seasoned quite well and came with a nice sauce but was a bit difficult to eat as it was a whole fish. We split an order of the cheesecake mousse, which I thought was quite tasty overall. The mousse was delicious and went well with the prune, but I would have preferred the cornbread piece to be softer rather than shortbread so that it could be split and eaten with the dish in several bites as well. The setting is quite intimate, being dimly light and not too loud. It's a nice place to enjoy a meal, and the food is decent and moderately priced. I've preferred other seafood places, but it's solid enough for a small, intimate meal.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.153763441; Sentiment_Subjectivity (from 0 to 1): 0.527867384 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: So this review is going to be for  their costumer service at the location where they make the corns, which is next to the restaurant located at the corner this is how I posted as my FB statues so enjoy it. --Funny how you're in a Mexican Restaurant and you clearly observe that the workers are from hispanic background, so I as a good Colombian, I go and speak with the cashier about my order in Español, then she looks at me like she doesn't understand a bit, therefore I proceed to translate my order in English, then she replies to me in English and she turns around to speak in Español with her coworkers, how funny & ridiculous. -- this was really rude-- in addition to this my friend wanted to ask for a lemonade she went to the cashier and the workers were talking nonstop among them, they saw my friend standing there wanting to ordr something they didnt even bother to ask if she needed help, seriously I dont even know how come they have so many workers in that small place doing nothing.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.070238095; Sentiment_Subjectivity (from 0 to 1): 0.475 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Wow. I admit, I'm flummoxed by the high ratings for this place. All I can conclude is that Brooklynites really like their salt! The food here was abysmal. We got the Brussels sprouts, which we had to send back to the kitchen because they were inedible (and I never send stuff back, I hate to waste the food!). When we told the waitress it was too salty, she had the balls to condescendingly tell us (two Asian women, no less), "Oh, no, it's because of the fish sauce." I had to break it to her that we knew what fish sauce was. We also ordered a salad, pizza, and pasta. The pizza was all right, but still too salty (though nothing near the sprouts), as was the pasta. I thought I was going to walk out with kidney failure by the end of the meal. The only reason this place got 2 stars and not one is because they ended up taking the sprouts off the bill.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.02981685; Sentiment_Subjectivity (from 0 to 1): 0.38018315 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: ****** REVIEW NUMERO 250!!! =D ****** I took my boyfriend (hiiii Jimmy C.! hehe) here for an early birthday celebration after the Knicks kicked some Hawks behinds! ;D We had a 10:30pm reservation as a result of the game, but were seated right away once they took our coats. Our hostess led us to a corner booth - so cozy! - near the front of the restaurant. It would later make the perfect location for me to sneak away and request a special Happy Birthday dessert be presented to him later in the evening. Moohahahaha. Our initial waiter wasn't very warm or smiley, but he definitely got the job done.  Their bread basket w/ whipped mascarpone butter, eggplant marinara, & olive oil dips was amazeballs. The stromboli bread was by far one of the best things I've ever tasted in my life - it completely blew our minds! I'm also a huge eggplant fan so I couldn't stop myself from eating up the dip. Yum! We ordered the below, per Yelp of course, and all our dishes came out in quick succession to one another but did not feel rushed. We had: * Creamy Polenta - omg what is this?! I could only compare this to mushy and delicious buttery grits. Turns out polenta is actually cornmeal! The truffle, mushroom, and polenta made every single bite memorable. Mm mm mm. I forced Jimmy to finish the rest of mine before I devoured the entire thing and had no room for the pastas. * Spaghetti - served w. tomato & basil, a simple dish that reminded me of home...or at least what I would envision an Italian home would be like ;) The sauce was incredibly creamy and not as tart and tomato-y as I feared. I actually finished up this entire dish & I rarely finish dishes at restaurants! Totally worth the $24. * Duck & Foie Gras Ravioli - I thought this was an extremely rich dish that was heavily foie gras flavored but still mighty tasty. I'm glad we shared our pasta dishes because I could definitely not eat more than a few pieces of it. Jimmy thought that this dish had an Asian flair to it ;) We also ordered two cocktails & the coconut panna cotta (w. guava sauce & caramelized pineapple). The Arancio In Fiore and La Sporca Bacca cocktails were pretty darn strong - even for a resident alcoholic like me! I couldn't finish mine (but mainly because it was way too olive-y/gin-y for my liking). The dessert was fabulous....preeeeeetty sure it blew Jimmy's mind away ;) As a part of his birthday, our waiter also brought out a plate of sweets with "Happy Birthday" written out in chocolate. The plate contained macarons, truffles, marshmallows, toffee brittle - the works! Everything was so good and we packed the rest to save for later. Our waiter was also very very kind with us taking 39573478 photos of ourselves for this special occasion =) Everything from the ambiance to the food to the service was top-notch. A definite fave!; Max_Daily_Reviews: 7; Sentiment_Polarity (from -1 to 1): 0.272758273; Sentiment_Subjectivity (from 0 to 1): 0.597212806 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If your in chinatown nyc Breakroom is a must. The burgers and tacos are amazing and will definetely have you returning for more.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.55; Sentiment_Subjectivity (from 0 to 1): 0.7 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: to get straight to the point, we were first served this champagne with  jam at the bottom.  the jam was made from imported japanese strawberries. for food: avocado tofu- wonderful in both texture and flavor japanese veal liver sashimi- good but a little too much in the serving collagen soup gyoza- the broth was a little too thin and not sticky enough to really detect any "collagen" (but the gyozas and the flavor of the broth were delicious) pork tonsoku- pork was difficult to remove from the stick and also generally overcooked kanpachi carpaccio- a basic japanese carpaccio with very fresh fish and lastly, a spring roll dish that i really hated.  i also hoped to try the snow crab croquette because i love croquettes and the guy sitting next to me seemed like he was really enjoying his, but when i ordered it as an add-on, i was told that they were 86d. service was attentive, but i can't really put it into my rating because my friend knew the owner of the restaurant.  so i'm rating on the food-- i would go back to get the dishes i liked again.  the ingredients taste clean and fresh and they serve certain things on the menu that you can't normally get at other japanese restaurants around the area.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.149119769; Sentiment_Subjectivity (from 0 to 1): 0.455194805 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food is REALLY good.  However, I'd only go if i had extra time to kill as they always tend to be behind the schedule; 20-40 min wait even with a reservation is typical.  Hence, i'd go to The Smith if you don't want to wait outside. Must Try Items: Vanilla Bean French Toast, Benedict Jane, Benedict Jonny, and Chocolate Chip Cookies & Milk; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.019047619; Sentiment_Subjectivity (from 0 to 1): 0.421428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Congratulations, Hamilton's. You get my first crappy review on Yelp. I've been here twice for brunch and the service was terrible. BOTH times i had to get up and find my server, who was sitting at the bar??? and acted totally put-upon. Food was okay, but that's about as much as I can say. With service like this, I just can't see going again. When your server is sitting with their back to you at the bar, and you have to interrupt them to ask for this or that, it's pretty much done for me.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.05; Sentiment_Subjectivity (from 0 to 1): 0.497916667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is my favorite restaurant in all of NYC, hands down.  My husband and I have easily dined here a dozen times and have yet to be disappointed. While the menu is pricey, the dishes are excellent. Most of the ingredients, from what I understand, are procured the morning of from the farmer's market. There is a diverse range of options for carnivores and vegetarians alike. The service is attentive and  atmosphere is pleasantly understated. If you get the chance to dine in the backyard during the Spring or Summer, do.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.332638889; Sentiment_Subjectivity (from 0 to 1): 0.779861111 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've only been coming here for dinner. The burgers are delicious and comes with a good portion of fries or salad. The waitstaff are accommodating, friendly, and patient. On my first visit, my friend and I were given green shots of an eclectic mixture of liqueurs from the mixologist who was getting experimental. I thought that was a nice welcome. There's always a good amount of people in there to be busy, but not crowded. It's really nice to have another sit down restaurant that has a good variety of menu items that is now close by. My most recent dinner here was light. I chose a market salad and the Moroccan soup from the starters section. I can't believe I'm reviewing a salad, but for 5$, it came filled in a large bowl with a light & flavorful vinaigrette. I took my partially eaten soup to go.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.351606198; Sentiment_Subjectivity (from 0 to 1): 0.600037793 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Grease heaven. The Brisket literally melts in your mouth and falls off the plastic fork. The beans with burnt tips made me want to rip my clothes off and go streaking. I hear the craft beer selection is great, but I was out for the count after July 3, so unfortunately I drank the ginger ale (fresh organic though, nice). I gotta say though, they were out of pork ribs which I guess is a sign its probably good - so that sucked. and also, the food was a little too salty - they sprinkle big ass sea salt over the meat after you order it, so imo i say hold off it. I know it's American to kill ourselves with sodium, but honestly, I think it's over kill. that's just me though, to each their own. If you love bbq, hit this spot up. Great woody tender love.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.3625; Sentiment_Subjectivity (from 0 to 1): 0.638461538 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: great service with very tasty Japanese tapas. if you have about 4-6 people, you can probably try just about everything on the menu! I just came back from a recent trip to Japan and I definitely felt like I was back there with the atmosphere of Fukurou. Chicken wings are a bit pricey but worth a try and every bite!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.086111111; Sentiment_Subjectivity (from 0 to 1): 0.316666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is super cute!  I pass it everyday on my way to work and would not have guessed there was so much room inside.  The staff is friendly and helpful.  The menu is on chalk boards behind the cashiers, however, they have menus that you can take to your table to review.  You have to order and pay at the cashier counter.  A server will bring you your drink.  You must get your own utensils.  If you do not order a drink, they will give you a tall glass for water.  You give your name when you order, then a server calls your name out and brings your food to your table. Now the food..I had the grey dog breakfast and I must say it was tasty!  Two pancakes, home fries, bacon and scrambled eggs.  The home fries were seasoned nicely   It was a filling meal.  I will definitely return for lunch.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.210984848; Sentiment_Subjectivity (from 0 to 1): 0.592424242 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came Here on a chilly afternoon and was told we have to try the mexican Corn. Well Being that my Boyfriend is from mexico and having had the real thing out in LA. I was excited to see how it tasted. Everything they put onto the corn including the cotija cheese was perfect... except for the corn! The corn was a bit dry and wasn't good at all. I guess Im used to the corn out in la where they are sweet and juicy and DELICIOUS but it just didnt compare. But I still give this place a solid three stars cause there coffee was really good and so was their burrito with chorizo with egg. They used good quality chorizo and the perfect amount of cheese. The place is a little tiny but what isn't in NY. If Im ever back in New York maybe Ill try something else. But as for the corn im better off getting it here.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.279326156; Sentiment_Subjectivity (from 0 to 1): 0.581818182 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I was recommended to come here to try their pizza and I must say, I'm not impressed. I saw a long line and I thought this must be good, but I was wrong.  The pizza is just average. I had better pizza with better sauce. I don't know what the big deal is and not to mention, poor service, flat out, rude! So many 4 and 5 star reviews, really???; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.030769231; Sentiment_Subjectivity (from 0 to 1): 0.494230769 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cute place! Came here last weekend, there is a garden and outdoor seating. Although the place is very cute, but service was no good. The minute we walked in to the patio area, servers ignored us and I had to ask if we can just sit wherever we want. Server informed us, there is a different menu then inside. Well I came here for the famous Pizza. But it was so nice and did not feel like sitting inside. So we had a drink. I ordered the sangria, I can't remember when was the last time I had a real bad Sangria. It was like water. My friend ordered a glass of red wine and it was not drinkable. Like acid, vinegar. They took it off the bill ( that was a plus). I will give it another chance if I'm in the neighborhood again. ( for Pizza of course); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.1025; Sentiment_Subjectivity (from 0 to 1): 0.633333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I love that the food here is not heavy and greasy. I didn't feel gross after the meal and I had a lot. Argula salad - nothing special but tasty. Black and white tagliatelle - really good. order it! Pizza - fresca with sausage was good but the winning pizza for me was the vodka one. The sauce was just incredible. Best to get a reservation this place does get packed.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.433225108; Sentiment_Subjectivity (from 0 to 1): 0.477705628 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: being a little hung over from last night and having friends staying in w'burg made it the perfect opportunity to try Marlow and Sons for late breakfast/lunch. i had a damn good bloody mary (why does the hair of the dog work, anyway?).  we also ordered the basket of sweets and the scone was a little dry but the jelly on top made it delish. the sticky bun was good too. i think i tried the donut and i think it was good. then i had the pannini of cheese and raddichio which was really hot and kinda greasy, but it was kinda just what i needed since i woke up a tad slow and stupid. the service was nice and friendly, the place was so hip it hurts. and band of horses was playing on the stereo. which is kinda funny cause of the spot and all.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.143137255; Sentiment_Subjectivity (from 0 to 1): 0.659803922 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Just awesome! Tiny place, but the soup was amazing! I got the Mega Ramen. Get there early to get your name on the list. The evening list starts around 5 for the 5:30 dinner. Look at the menu ahead of time bc they take your order before you go in. 4 or less people is best bc of the size.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.447222222; Sentiment_Subjectivity (from 0 to 1): 0.511111111 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Came here for dinner Monday night. The waitress seemed unenthusiastic about everything and didn't check in our table even frequently. Everything took too long. However I had arroz chaufa which was pretty good. I liked the ambiance as well.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.32; Sentiment_Subjectivity (from 0 to 1): 0.62 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: If you don't want to seem like a true fat a** don't do what I did. I went here for brunch 2 days in a row. LOL! In my defense I think they have crack in their pancakes. They are SOOO good.  The 2nd day I woke up thinking and itching for a pancake fix. Just sad. It was under  $12 and that was just perfect for me and my new habit.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.383766234; Sentiment_Subjectivity (from 0 to 1): 0.629220779 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've been to Spotted Pig for brunch, and while I did have a lovely brunch with friends, I think the restaurant is overrated.  It is, afterall, a tourist trap, so that I found the restaurant over-hyped for the experience was not that surprising.  A very interesting space worth seeing.  Upon first arriving, you have no idea that there are actually multiple rooms spread over three floors.  Very cute.  I would give it a 5 for ambiance.   Yet the menu was somewhat limited and the portions not big.  Also, they were all overpriced.  I paid $17 for an arugula salad, which consisted of a small handful of greens, three small chunks of parmesean, and a couple figs...it was delicious, but for $17?  I was still starving.  Also, $5 for a small glass of orange juice?  Please.  Is gastropub British slang for rip-off?  Also, about 15 minutes after telling us they were all out of their famous burger, we saw 3 go by and land on the table next to us...Quoi? It's a good place to go for the experience, but definitely not a staple.  You can get such better brunches for less money in the West Village.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.198268398; Sentiment_Subjectivity (from 0 to 1): 0.429220779 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My feelings for Walter are what you can describe as tepid. It's not good but it's not bad either. The menu hasn't changed since it first opened. You can almost always rely on their sandwiches--the french dip, the lobster roll, and the hamburger. We love the Fried Chicken, too. However, every time we order our staples, something in the preparation and presentation changes, too. For example, the Fried Chicken we had yesterday night looked half the size of what we used to get. What used to be an inviting plate of comfort food is now lackluster and uninviting. They skimped on the mashed potatoes and also forgot the advertised white gravy. The Tuna Nicoise Salad, although good, barely had any salad on it. As my bf said, it hurts when you know you are paying the same price for half the food. Anyways, stick with the staples and try to forget how generous they used to be and you'll have a good time at Walter.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.047619048; Sentiment_Subjectivity (from 0 to 1): 0.418452381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Sad that they took an hour to deliver down the street and didn't include any utensils. The pasta is good but I am getting splinters from using leftover chopsticks at my job :(; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.176388889; Sentiment_Subjectivity (from 0 to 1): 0.722222222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Good wine in a dark and intimate bar. Great service, good tunes, and the yummy smell of crepes (next door) could knock a person out, definately need to try them next time.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.321428571; Sentiment_Subjectivity (from 0 to 1): 0.421428571 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: the chicken is amazing! Found the kenyan special dish - mogo - fried yuca!!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.236011905; Sentiment_Subjectivity (from 0 to 1): 0.807142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cozy and comfy.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.2; Sentiment_Subjectivity (from 0 to 1): 0.75 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: You won't go wrong with any of the house special noodle soup, the spicy beef soup or the Mount Qi noodle soup, all of which I've had (though I suspect that some of the chopped vegetables might originally be frozen).  I particularly like the spicier soups.  Good hefty servings and lots of condiments on the tables - especially perfect for cold days.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.214115646; Sentiment_Subjectivity (from 0 to 1): 0.736394558 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My friend who I came to New York to visit took me to Artichoke. She was telling me about how she's been going there quite a few times over the last couple months she's been in the city. It seems appropriate because I've been in a very pizza mood this summer (aka I've been craving and having pizza quite a bit)... It's a wonder I'm not sick of pizza already. I didn't think artichoke on a pizza sounded that great, but I took her word for it and it turned out to be delicious. We ended up having the leftovers for dinner too. I only tried their signature artichoke pizza, but it was really unique and I've never had any other pizza like that before. I also thought that it was nice of them to cut the pieces in half for us.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.267449217; Sentiment_Subjectivity (from 0 to 1): 0.582309357 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: First things first:  warm banana & nutella panini. AWESOME! That alone was well worth the visit, but we also loved everything else we ordered: baked mac & cheese was rich but delicate; eggplant & pea risotto; beet & ricotta salad; and various bruscetta. Everything was well priced and well portioned. Good wine list (though a bit on the pricey side--$10 for a glass of the house red), and friendly staff. Downside: personally, I could have done w/o the massive flat screen TV above the bar. I HATE nice restaurants that ruin the ambiance w/ a television!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.231944444; Sentiment_Subjectivity (from 0 to 1): 0.546759259 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The best word that comes to mind when describing this place is: Sunday. The place feels the way Sunday does. When you're too bored to commit to going anywhere so you wanna read the paper in a bright and sunny establishment with a delicious iced coffee and eggs. The Egyptian Poached Eggs were one of a kind and so delicious! They are served on a cutting board over fresh arugula and crushed walnuts. Palette is unusual for a brunch spot but chance is nice! Come here if you're tired of the usual eggs benedict!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.279807692; Sentiment_Subjectivity (from 0 to 1): 0.726923077 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: By far, my favorite restaurant during my nine days in snowy NYC. Since Ootoya doesn't officially accept phone reservations for any times other than 6pm, one of us went in when they opened at 530pm, to request a table for 7pm: in essence, a reservation. Being seated about half an hour late, we eventually end up ordering: * Kaasanni - Delicious soggy fried chicken katsu. And while soggy isn't exactly an appetizing description, what this was was basically pieces of fried chicken topped with shredded radish, covered in a light broth. And while it could have done with a little less radish, it was all around still quite tasty, if you're able to accept the texture. * Oroshi Tonkatsu - This was another surprisingly tasty dish. Panko crust fried pork cutlet, surprising not because it was tasty, but because despite being thick cut, it was still quite moist and tender.cut * Gyu Shiokoji - A bit lackluster at first, I soon realized that the slices of beef weren't really meant to be eaten alone with the rice. When combined with the pickled veggies and a dash of wasabi, the flavor combination ended up being outstanding. * Rosu Katsu Ju - The least interesting portion of the meal, not because it wasn't tasty (because it was), but because it was basically their variation of sweet and sour pork. All these orders came as a set, which included a tasty bowl of miso soup, and an amazingly delicious cup of chawan mushi (another favorite item of mine in Japanese cuisine, and one which was done very, very well). ***Accessibility Info*** Venue - Contrary to what one might expect from the outside, the interior of Ootoya is actually incredibly spacious, and getting around or being seated isn't really an issue. Bathroom - Didn't try, so no comment.; Max_Daily_Reviews: 5; Sentiment_Polarity (from -1 to 1): 0.195472222; Sentiment_Subjectivity (from 0 to 1): 0.553555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Can't say enough about the awesome food and desserts. Just go there and try it. Falafel is fresh and very very very good. Ask for their home made dessert. I wish I could take some of this food to Boston...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.5525; Sentiment_Subjectivity (from 0 to 1): 0.695 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I'm convinced. I've tried lots of entrees on their menu and nothing is as good as the grilled corn and cuban sandwich. So, from now on, that's all I'll get. One more thing, SHARE! That sandwich is huge. Yummy and juicy, it literally exploded on my pants (kinky huh?). But seriously, it's a good sandwich and apparently it comes with fries too (I didn't get that at Habana-to-go next door).; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.4125; Sentiment_Subjectivity (from 0 to 1): 0.491666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Small place, kind of a café-restaurant. I had Austrian food before in Austria itself but I just can't figure out why it never tasted as good as in this place. I chose the Austrian Meatballs ( meatballs are a curse, put them on the menu and I need to have them, no matter what other fancy stuff is being served). They were uber delicious and very different to any other meatball dish I had before. Served with a creamy sauce, creamy mash potatoes and grilled root vegetables. I had to restrain myself or I almost started licking my plate at the end. Now I regret I didn't.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.257142857; Sentiment_Subjectivity (from 0 to 1): 0.632857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Perhaps one of the best Cantonese style restaurants in the city. I would have rated the food 5 stars by itself. Taking price into consideration, I wish I could rate this place higher! Really friendly and helpful staff. The owner must be the guys in the front because they are always rather helpful when I order take out. Recommended dishes: Duck, soy sauce chicken, pork with thousand year old egg rice porridge, and 2 lobster with noodles special. I love their Jie Lan veggie dish too. SOOOO GOOD (looks like long Chinese broccoli but tastes better and is a darker, leafy-er green). Skip the You Tiao, too doughy for me. Note: This is a down to earth, hole in the wall establishment so come here if you are looking for an authentic low key Cantonese experience in Chinatown.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.208692956; Sentiment_Subjectivity (from 0 to 1): 0.485019841 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Got the blueberry muffin and two egg sandwiches. The brioche bread was warm, soft, and inviting. It's not cheap, but the quality is worth it.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.2; Sentiment_Subjectivity (from 0 to 1): 0.4375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A great addition to the neighborhood. Great decor, friendly staff, good service, fantastic pizza. My wife and I have been a couple times: once, when it first opened, and again tonight. Every table was occupied for the dinner hour, and the ambiance was warm and even kind of romantic.  Had the spinach salad and a cremini and fennel sausage pizza. It really was fantastic.   They have a serviceable wine list, several premium beers on tap, and a full bar.  Decor is a well-done, exposed brick, woom beam and tile  (Brooklyn chic?). The wood burning oven is a piece of art in itself!   I reserve 5 stars for the "best of the best.' Rest assured, 4 stars means Excellent in my book!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.53515625; Sentiment_Subjectivity (from 0 to 1): 0.567708333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I really want to give this place 4.5 stars but there were a few very minor flaws. It is probably one of my favorite bars in the world based on aesthetics. I have this goal of going to all of the oldest bars in the US that I can...it's one of my bucket list things. Fraunce's was on that list and it didn't disappoint at all. The little whiskey bar inside is probably the coolest thing in an alcohol serving establishment that I've seen. We were here earlier in the day so I didn't get to experience it for myself, but just walking through and looking was still cool enough. The food was decent but not knock your socks off. My burger was what you'd expect from any other average restaurant but my fiance had "George Washington's Favorite" pot pie which had amazing flavor but the chicken was a little dry and overcooked. This is one of those places I wish I had closer to home. Also, we decided to check out the museum upstairs after reading other yelp reviews and I have to say it is a MUST SEE after a meal down below in the tavern. The history is really interesting and the paintings are absolutely amazing and I'm not even an art fan. If you're in NYC and down at the southern tip of Manhattan, definitely check this place out.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.060821256; Sentiment_Subjectivity (from 0 to 1): 0.519758454 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: So many thanks to the friends who introduced me to BCD Tofu house. I came here with a large group after a night of going out. At the time, the food seemed magical. I've been back since then and am happy to report that the food is still wonderfully delicious when sober. All of the korean classics are great here (ex: bulgogi, bibimbap, and seafood panjeon). The tofu soups are also especially good. My current favorite in K-town!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.47827381; Sentiment_Subjectivity (from 0 to 1): 0.623214286 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Probably one of the best japanese meals I have ever had. Makes you feel like you have found a hidden jewel with it's basement location, and the decor is awesome. We had the white fish in vinegar marinade, teriyaki chicken meatballs, sake marinated deep fried chicken chunks, and one of the specials that night which was beef cooked over a hot stone with an amazing ponzu sauce. Absolutely wonderful! My only wish is that I lived in NYC so I could eat here more often.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.229487179; Sentiment_Subjectivity (from 0 to 1): 0.629487179 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: It took me and my pals 2 hours to get a table for 6 at Ippudo... was it worth it? Sure! It wasn't as if we were actually waiting at the door or at the bar all that time. (We found a more interesting spot around Astor Pl. to loiter.) Considering the high-priced fare that the Big Apple usually has to offer, Ippudo's a bargain. A real crowd-pleaser. Even the vegetarian in our group enjoyed his meal! Our group shared Hirata buns (pork buns) that were good, but not the most delicious I've ever had (I've had many)... but the ramen? I ordered the Akamaru Modern ('The original tonkotsu' soup noodle with Ippudo's special sauce, pork belly chashu, cabage, kikurage, scallions, miso paste & fragrant garlic oil) topped with an extra egg. Oh, wow! Don't know if it was the weather (it was super cold out), my tummy (it was empty), simply the noodles (the texture of the noodles! the flavor of the broth!) or a combination of all three, but I was able to polish off my entire bowl o' noodles like THAT! So satisfying... I really am not a ramen fan. But I am a fan of Ippudo.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.261172161; Sentiment_Subjectivity (from 0 to 1): 0.528235653 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: First time I went a year ago was fantastic.  Then I unfortunately went back!  Ordered steamed veggie dumplings and found a finger nail...whole thing inside.  Time passed and my friends invited me back again...thought...well what could happen?  WORSE! Same veggie dumplings and this time A BLOODY BANDAID inside!!!  We were reimbursed but still. I will never return.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.16875; Sentiment_Subjectivity (from 0 to 1): 0.482291667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Dine and dash takes on new meaning near Times Square when you're hustling to fill your belly before the curtain rises on the Broadway show you paid half-price for at TKTS. Patzeria works in a pinch if you don't mind wolfing a lukewarm slice of pizza while getting elbow-butted by the German hausfrau who claims it's the best pizza she's ever had. It made me wonder what convent she must have been cloistered at to come up with that sheltered proclamation. Don't get me wrong. It's fine for stand-up pizza by the slice. No Ray's but decent. Jamie W. went for the Pepperoni & Mushroom, while I was much, much healthier with the Spinach & Mushroom. You just point to the slice you want through a fingerprint-encrusted display case, and start yelling Bronx-style if her picks up the wrong one. You pretty much have to yell to get your voice heard over the chattering Von Trapp family that just came in all excited to see "The Lion King". Can you feel the love tonight? Not so much...and stop leaning into my pizza! PIZZA - 3 stars...for the ten-minute bite, it's the right pizza to get you through "The Normal Heart" AMBIANCE - 2 stars...grab a stool if you can and ignore the noise SERVICE - 2.5 stars...they use their spatulas well TOTAL - 3 stars...hurry up, curtain's up in ten minutes!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.170906544; Sentiment_Subjectivity (from 0 to 1): 0.518054495 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Watch the music video for "Milkshake" by Kelis before eating here. You'll thank me. But seriously. Incredible food. Wonderful service. Charming atmosphere. Diner was my birthday dinner with my best friend and it didn't disappoint. The whole evening was charmed, actually. We rode the East River Ferry over from 34th Street (highly recommended) and wandered through South W'burg to the restaurant. So quaint and so peaceful. App: fried eggplant with watermelon and some green stuff. Who knew watermelon went so well with salty fried things? Delicious! Entree (Me): Sirloin steak with some sort of crunchy green beans and (oddly) three big, buttery, delicious shrimp. The steak was heavenly perfection. Entree (Her): Bluefish on a bed of potatoes and some sort of sauce. I don't know. All mixed together on the fork and into my mouth, it was an explosion of amazing flavors. I'm not a huge fish fan, but this stuff was legit. Dessert: Strawberry shortcake. This was good, but not life-changing. I'd pick something else if I could have a do-over. But we still licked the plate clean. (We did not try the milkshake, so I don't know if it actually brings all the boys to the yard.) This is yet another top-notch dining spot in Brooklyn. Two thumbs way up.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.386190476; Sentiment_Subjectivity (from 0 to 1): 0.578095238 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Very good pizza- get the Mopsys! Service was excellent- fast, friendly and thoughtful. Great atmosphere too.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.629166667; Sentiment_Subjectivity (from 0 to 1): 0.688333333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I have to agree with many of the Yelpers that this is the dumpling place to go to if you have to go to only one place for good dumplings in Chinatown. The price is right. The atmosphere is wonderful (if you like crowds). The place is clean. The kitchen is open for all to see. The employees are fast & skillful; their uniforms are cute. The dining area is larger then most places. Their new store front looks great. And the most important reason- the food is very good. It is true that the lines are long, especially at lunch time and it slows down to a crawl, wraps around twice and many of the tourist folks can't decide if they will order everything or doubles everything; it is fun to watch when I'm not in a hurry. When I'm hungry I go for their ham & egg sandwich made with their sesame pancake bread. I usually will get to watch the lady at the front of the store assembly my sandwich; sometime she throw in extra garnishing if you ask her (in Chinese). Vanessa is in my top five favorite dumpling places in NYC.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.314562557; Sentiment_Subjectivity (from 0 to 1): 0.585524023 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: What a delightful restaurant!  With its relationship to Dell'Anima, one expects superb service, fantastic food, and an excellent wine selection.  L'Artusi doesn't disappoint. Service seems very smooth considering how short a time they've been open.  The food was sublime.  There's an octopus appetizer that will suprise and please even unadventurous patrons.  The pasta dishes we tasted were excellent - the orrecchiette with sausage and bitter greens was delightfully spicy.  The spaghetti and meatballs is getting very popular, the server told us, and we could see why.  One dish - the tuna entree - included melt-in-your-mouth tuna, but an unidentifiable sauce.  Fortunately, there was no real need for the sauce.  The food on the plate was better off without it. Dessert is as you would expect.  Creative, delicious, with some incredibly delicate and some powerful flavors.  The Olive Oil Cake was to die for. Without wine, dinner was entirely reasonable; the addition of drinks would bring it to 'spendy!'; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.481578947; Sentiment_Subjectivity (from 0 to 1): 0.781578947 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Fonda has definitely stepped up their customer service since my last review, so I thought I'd give credit where credit is due. Strong drinks at AYCD brunch and delicious food are still there, and the last two times I went my groups had very attentive waiters. One time we were seated right next to an extremely loud party, and they agreed to move us to a quieter location AND gave us free guacamole to help make up for the inconvenience.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.237640693; Sentiment_Subjectivity (from 0 to 1): 0.534307359 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Being a sheltered little Jewgirl in suburban Boston as a child, my culinary adventures went so far as Chinese on Christmas Eve before the movies.  After moving to NY as an adult, I was immediately introduced to the joys of Venezualans & their arepas-making genius.  Caracas was the first place I ever had them, so the bar was set oh-so-high, G-d I love that place (blasphemy notwithstanding - see religious background above).   Arepas Cafe is a great little find in the neighborhood.  I got sick of trekking to the East Village when the stuffed corn cake cravings struck in the night.  Plus Arepas Cafe is cheaper, warmer & I don't need a massage afterwards from being all scrunched up in the crowded seats like I do at Caracas. I love the Jugo de Papelon con Limon (brown sugar lemonade) & i always stop at the deli for some beevos first since this place still does not have a liquor license.   I worship at the alter of gooey cheese.  Mmmm Arepas.; Max_Daily_Reviews: 8; Sentiment_Polarity (from -1 to 1): 0.094047619; Sentiment_Subjectivity (from 0 to 1): 0.408253968 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Went for brunch, had the bread basket, donuts, and chicken & waffles. Donuts were great; chicken & waffles needed syrup (which we requested & got). No waiting for a table, great sunny spot. Had a good morning at Hope Garage. Prices were fair for what we ordered.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.3; Sentiment_Subjectivity (from 0 to 1): 0.816666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: What's the best thing to eat after a long transcontinental flight? How about some greasy, yummy, bacon filled beef sliders? I'll take 4 please and a side of fries!!! Man they were good. Cooked just right and with the sauces they offered, perfect compliment. Only minor compliant was that they were only taking takeout orders by the time we got there. I really could have used a beer with all that food. Would definitely come back if I'm ever back in the area and needed some good bar grub.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.326211735; Sentiment_Subjectivity (from 0 to 1): 0.516836735 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: came here to eat, and waited and waited and waited.  after 1hr and 15 minutes i went elswhere to find food.  but i'll go back.  it was a friday night on labor day weekend so i figured...cant wait to try; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.0; Sentiment_Subjectivity (from 0 to 1): 0.0 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Returned once more with my dad this time. He had never had crepes before so he was thrilled to something new. I ordered him the chicken teriyaki and I went with Harajuku fruit cocktail for myself. Both crepes were amazing this time. The chicken teriyaki was full of flavor and loaded with veggies/eggs/perfect amount of dressing. My crepe was warm, light + perfect amount of sweetness. My dad kept asking me if there's a store like this back at home (DC/Maryland) because he can't wait to take my mom. Can't wait to sample the rest of the menu!; Max_Daily_Reviews: 7; Sentiment_Polarity (from -1 to 1): 0.271487603; Sentiment_Subjectivity (from 0 to 1): 0.664049587 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Sit outside if you can, Order a crisp italian miretti and order the grilled calmari- then for main entree irder the grilled lamb with fig and mushrooms. Sublime!; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.114583333; Sentiment_Subjectivity (from 0 to 1): 0.2 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Really good ramen. Always a huge line. I wish they had a little more selection on the menu.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.353125; Sentiment_Subjectivity (from 0 to 1): 0.625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Shared the Grand Slam here... The value is great but the curry is about a half step up from boxed curry roux. It is everything it is intended to be- fast, cheap, and filling... However, just lackluster enough to make it somewhat unimpressive even as a cheap eats curry joint.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.304761905; Sentiment_Subjectivity (from 0 to 1): 0.630952381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: a hip cozy corner pizza/italian spot worth the trip if you live nearby. Small and thoughtful. a very nice house red at $6 a glass (thankyou!). i shared a salad, Capocollo pizza, and a plate of meatballs for dinner.  plenty of doughy springy bread and grassy olive oil (infused with red pepper flakes??) to get you started as you look over the little clipboard menu.  The pizza is  thin crust and crisp though a wedge can't stand straight out on it's own.  This is a pie that cooks in about 7 minutes!  But there is a nice tear and chew that isn't flat or doughy and the mozz is fresh, no shredded cheese blankets here. There is a room in front where the pizza oven is and also a larger room in the back, we sat in the back at a small 2 top table.  The decor is a mix match of furniture and home stuffs and it all fits in well.  Very nice. I will return to try more items. Cash only; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.174327652; Sentiment_Subjectivity (from 0 to 1): 0.497569444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: i should change my last meal on yelp to be "anything from cafe habana", because if i was hit by a crazy cab driver and killed after walking out of this joint i would die happy. the corn, of course, is phenomenal. i can't say enough about that. i had the tostones recently and they are great - almost as good as my beloved orinoco in the south end in boston. the drinks are also great and make up for the annoying as hell wait. i've gone there are varying times of the day and i have always always always had to wait. the service can be a little iffy too, mostly because the waitresses are too busy looking beautiful to actually hustle your food out of the kitchen.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.233088235; Sentiment_Subjectivity (from 0 to 1): 0.565686275 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: A limerick of love, relevant to those who have been here: Cha-An I adore thee You introduced me to black sesame You usually have a long wait but your tea is great and I end up leaving with such a clean tushy; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.2; Sentiment_Subjectivity (from 0 to 1): 0.566666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Haven't had anything that I didn't like.  Bulgoki burrito is amazing.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.6; Sentiment_Subjectivity (from 0 to 1): 0.9 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I just had dinner, ate a handful of prunes, and almost finished a whole bag of popcorn meant for 7 servings, and still when I think back to the Islands, I want me some jerk chicken!! I'm so stuffed, but I'm just craving that flavorful, spicy, and juicy chicken! The Islands definitely serve up some of the best chicken. Huge, juicy, and flavorful portions for  a cheap price. I normally cannot finish a whole meal by myself but I did because it was just that good. The place itself is mad ghetto, with pieces of junk, and bits and pieces of chairs in the front where the guys were cooking. And seating is upstairs. You gotta walk up the rickety steps, with your head bent low in order to get to the even more ghetto "dining room", which doesn't even seem to be properly built a.k.a. illegal! It was hot and stuffy up there! So we opted to eat at the park. Don't let its ghetto-ness scare you away. It definitely has the best chicken you'll ever eat. I never knew chicken can be that good.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.035869565; Sentiment_Subjectivity (from 0 to 1): 0.602173913 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great food and service. The restaurant is located in the East Village, away from the tourist sites. We walked around 10 min after getting off the closest subway from the restaurant. The neighborhood is quiet but price is right compare to those overpriced restaurant in Manhattan. Would recommend this restaurant to everyone.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.361904762; Sentiment_Subjectivity (from 0 to 1): 0.53968254 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: There seem to be a long line at artichoke pizza at all hours.   Why? Perhaps, they have great pizza!  Long lines typically translate to good stuff right? Well, based on my experience - they give you a jumbo sized (Airbus A380) like slice for under $5 dollars and maybe that's enough for some, but it didn't work on me. By the way, it could have been my slice, but there was maybe two small pieces of artichoke? haha For the experience, if you are near-by why not give them a try, but good luck finding that artichoke on your pizza.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.236904762; Sentiment_Subjectivity (from 0 to 1): 0.498571429 [/INST] Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: WOW WOW WOW! The food is absolutely fantastic.  The service is awesome, but the whole restaurant is very cozy.  The staff strikes the delicate balance of being laid back and casual without being inattentive or pedestrian.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.0865; Sentiment_Subjectivity (from 0 to 1): 0.804166667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This was the first place I tried when I moved to New York last year and I am still a fan! When my friend and I stopped by for the first time, there was a woman and her son who were super friendly. The woman reminded me of home - like mom, who was ready to fix up anything in the kitchen. They suggested the trio-samplers, and we went for the hummus, lebni, and/or spinach and feta bourikast. In visits later on, I would switch the sampler options amongst those three options along with grilled eggplant at times. The spinach and feta bourikas are out of this world though! Crisp on the outside and creamy on the inside. I would dip them in the hummus, which was whipped to perfection and lebni, which is this thick yogurt sauce that is a cool factor to the entire dish. This comes with a pita break (white or wheat), and you can ask for hot sauce in your order. I usually order in when it comes to Gila's Nosh, and I'm never disappointed. This will always be a place I remember when I think of NYC.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.13057041; Sentiment_Subjectivity (from 0 to 1): 0.407130125 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Lovely bar/restaurant with delicious burger, nice ambiance, friendly staff. Enjoyed having a couple glasses of wine at the bar here. I hear the food is all super healthy/organic/grass fed.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.551388889; Sentiment_Subjectivity (from 0 to 1): 0.769444444 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: There's nothing like fried dough stuffed with an oh-so-good melody of yummy ingredients to satiate your appetite and make your taste buds smile. Empanada Mama delivers a great variety of these crisp pockets of deliciousness with fillings ranging from the traditional blends of Latino flavors to an innovative beef and chicken teriyaki combination. We came to this tiny sliver of a restaurant on a Sunday afternoon, there were only a table or two that was occupied so my party was seated promptly.  The restaurant, while small, has a casual, clean, and pleasant atmosphere. A cute place for a first date and a fun stop to hang out with friends. We received a no-frills decent service; the waiter came, he gave us water, took our orders, gave us food and drinks, and then the check. It was quick, efficient, and attentive. He didn't bother with pleasantries. He knew we didn't want conversation. We just wanted food and booze. He gave us a nod of approval as he place a huge pitcher of sangria on our table. I feel that we were kindred spirits. Our waiter gave my friend the wrong desert empanada, but we didn't fuss about it.  We knew it would be good. The food is good and cheap. I was a major fat ass and took a bite of everything on the table. Get a variety and share amongst yourselves so you can have a taste of everything. Guacamole - $6.95 (served with addicting crisp plantain chips) Seasoned well and very flavorful. One of the best guacamole I've had. VIAGRA - $3.00 (mama's seafood stew with shrimps, scallops, and crab meat) I wasn't crazy about this empanada, but it was good and tasty. Glad I tried it, but I wouldn't order it a second time (I rather try a different empanada). CUBAN - $2.55 (slowly roasted pork, ham with mozzarella cheese and a touch of sofrito sauce) Highly recommended. Can't go wrong with pork and cheese. a deadly combination that will clog your arteries and make you sigh in ecstasy. CHORIZO - $2.60 (ground pork sausage with classic Latin herbs and spices) Very yummy and flavorful REGGAETON - $2.80 (Caribbean style roast pork with sofrito seasoned yellow rice and gandules) Absolutely delicious. I could eat a buttload of these. POLISH - $2.55 (Polish sausage sautéed with sauerkraut) Like any hot blooded girl, I like me a juicy polish sausage. It's even better when topped with crunchy sauerkraut and wrapped in warm crisp fried dough. AMERICANO - $2.55 (juicy hot dog with cheddar cheese) Taste like hot pockets. Not recommended. While their savory empanadas are mostly all pretty good, their desert empanadas didn't wow me. The USA  (apples and cinnamon), Romeo and Juliet (guava with mozzarella cheese) and Elvis (peanut butter and bananas) were blah and felt like they were missing a component that would have made it great. It felt mediocre and boring. I wouldn't order desert from here. The sangria was delicious, a medium pitcher (about $24) of red sangria was huge and it gave  the three of us about a couple of tall glass full of this stuff. The drink is potentially dangerous, it was so fruity and yummy that I hardly tasted the alcohol. I definitely will come back to eat, drink, and be merry.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.187460938; Sentiment_Subjectivity (from 0 to 1): 0.607526042 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great pizza. The squares are legendary. The round pies aren't bad either. This is one of the few elite pizza joints in Brooklyn where you don't have to wait in line for hours. Quite the opposite, this place cranks out the pizza and you barely have to wait at all. Try the spumoni before you leave.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.107142857; Sentiment_Subjectivity (from 0 to 1): 0.430952381 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Yuca Bar, thank you existing.  You made my labor day wonderfully delicious.  There were 2 of us and we were seated immediately with no wait at a great table outside.  Ordered a 1/2 pitcher of sangria which was tasty and had an adequate supply of fruit in it.  Not the strongest but seriously not stingy on the fruit.  Followed up with Basil Brazil's which were also delic and thankfully stronger than the Sangria.  Then it was tapas time - empenadas (goat cheese and spinach was to die for), ribs (sauce was AMAZING), fried calamari (such a huge delicious portion), and of course the yuca fries.  A warning from the waitress that 4 tapas for 2 girls was way too much at their restaurant would have been nice, but none-the-less we were able to man up and handle it.  I was able to leave just as I wanted to on my the last night of my 3 day weekend...fat and happy time for nappy (and just a wee bit drunk).; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.4; Sentiment_Subjectivity (from 0 to 1): 0.663541667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: i used to live in this neighborhood. and i'd always go here with the intention of eating dumplings to black out. so, my idiot friend, ron, and i often set out and order 3 orders of fried dumplings each. douse each one of them in an assload of sriracha, grab two beverages, find a stoop where we'd like to destroy our bowels, and eat eat eat till next thing we know we're waking up in the street dizzy and nauseous wondering what time it is.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): -0.206060606; Sentiment_Subjectivity (from 0 to 1): 0.346666667 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is pretty much the pizza you ask for before you die. lol, or you feel like you could die and go to heaven when you eat this pizza. I've had the Artichoke Basil Pizza three times now and it's definitely not the stuff you eat if you're worried about your figure. Can't say enough good things about it. The ONLY downside is ordering online from places like seamless.com or grubhub,com, give yourself about 2.5 hours before you plan to eat to order. Twice now I've ordered for delivery and it's honestly taken that long to get to us. Just a small downside. Now I just know to order way ahead of dinner time. :-); Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.25; Sentiment_Subjectivity (from 0 to 1): 0.654545455 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My friend and I stopped by for Sunday brunch. It was busy but we were seated quickly which was nice. I ordered a coffee and they had ALMOND milk which I haven't been able to find anywhere else. Kudos! We had the plate of meat with some different pickles, eggs pickled in beet juice with pate, and random yumminess and a salad to start. We ordered the ricotta pancakes and pork belly in grits for our mains. The food was great! I already love ricotta pancakes but these came with a rhubarb jam which I never had before but really made them stand out. The pork belly and grits were delicious as well. The pork belly still had some of the fat on it and it just melted in your mouth. I think this place is new so it's great that the place fits the area and food is awesome. I will def be going back for dinner.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.413906926; Sentiment_Subjectivity (from 0 to 1): 0.591396104 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great Food!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 1.0; Sentiment_Subjectivity (from 0 to 1): 0.75 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I used to go to ray pizza's ever since I could remember. My grandfather would always take me there to get a slice sometimes after he picked me up from primary school. Going out of states for university, I soon found that ray's pizza closed down on me when I came back out of the blue. my favorite pizza joint was gone. Bummer. BUT a new place was opening up and I just had to see if it was just as good. Now the place isn't as great as the slice that I had before but the pizzas fresh. The place is much cleaner then the old pizzeria. I will go back as the new shop owners are really nice and the pizza is delish. Would recommend the  Margarita thin crust. The place however needs more sitting areas. I find that the side counters are hard to accommodate when me and 2 other friends try sit together.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.173710792; Sentiment_Subjectivity (from 0 to 1): 0.44287613 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I LOVE having brunch at Cafe Henri. I have brunch here every single weekend and it's something that I always look forward to. The two best things that I've had here (and I see almost everyone else ordering them) are the eggs benedict and the french toast. Of course, the big bowls of cafe au lait are just heavenly. Oh, and you MUST start with the tartine first!! - a delicious, warm baguette served with a side of butter and homemade jam. I love the atmosphere. It's a cute little cozy place and I love the old looking chandelier. I've never had dinner here, but I have had the crepes once. I was not impressed with them - I thought they were a bit too chewy. I think Cafe Henri deserves 5 stars nonetheless because of how pleasant the brunch experience is.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.30406436; Sentiment_Subjectivity (from 0 to 1): 0.547767857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The best food comes from this cute, small, dimmed light restaurant.  The prices are great, the staff is wonderful, even when I've had food delivered it has been great.  No complaints at all. If you're in the mode for Mexican, this place is worth every effort to get here!!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.524305556; Sentiment_Subjectivity (from 0 to 1): 0.555555556 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: The food, the atmosphere and the location are perfect. Cozy small place with all the goodies inside, one long communal table in the middle and a lot of small tables on the sides. Wine list was minimal but good, I went on to order a chicken kebab with couscous. It came with a green sauce on the side that was the right amount of spicy and great complement to the dish. Servers are friendly and constantly around if you need anything. We got there around noon and got a table without waiting but the few tables left immediately fill. The place is casual and very trendy a must if you are in Soho.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.088373016; Sentiment_Subjectivity (from 0 to 1): 0.526984127 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Amazing dinner specialties that will fill your mouth with flavor! Get the sheep milk dumplings, feel like pillows in your mouth. I'm full! Bon appetite; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.59375; Sentiment_Subjectivity (from 0 to 1): 0.725 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I was shopping in the neighborhood. I happened to walk by Bergen Hill and while hungry was reminded that it was on my list of new places to try. So I walked in, hiking shoes on, plastic bags in hand and was offered a seat at the bar without too much attitude. I had the lobster toast, which I requested without Tarragon oil. Really great lobster, very fresh and flavorful, and not puny in size. I also had the kale panzanella, which took a few minutes to adjust to, as the kale is heavily marinated. I prefer my kale roasted and left to its own devices, but the dish was interesting and grew on me.  The beer on tap that day, Reissdorf Kolsch, was very fresh and light, in a good way. The one offering for dessert did not appeal ( chocolate ice-cream with crumbled cookies or something to that effect. As described, it did not sound interesting ) so I had to pass.  I cannot wait to go back and try the black bass and hen-of-the woods dish.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.217629234; Sentiment_Subjectivity (from 0 to 1): 0.466934046 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: i thoroughly enjoyed my 2 meals at cafeteria. it's a little bit on the loud side later on in the day, but overall its a nice cozy atmosphere and the servers are all so great! the first time, i had the mac and cheese attack - i was not really feeling the truffle oil infused one, since it was (surprise!) really oily. the orignial is soooo good, and the gouda/bacon one is my favorite!!! and i also ordered the hanger steak and eggs. i was expecting an itty bitty dried up piece of beef with my eggs... and the steak. was. phenomenal. i dream of this steak. AMAZING!!!! it was huge, juicy, tender, and so delicious. yum! second meal there... i had the green eggs and ham. the green eggs (w/ pesto and goat cheese) were delish, but the portion was seriously lacking, when you consider my previous experience there. and the ham was not so great.  but i will definitely stop here next time i'm in nyc.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.246694712; Sentiment_Subjectivity (from 0 to 1): 0.516025641 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Great food. Al Pastor burrito really good choice. Best part of the meal hands down was the watermelon Agua Fresca!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.576388889; Sentiment_Subjectivity (from 0 to 1): 0.484722222 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is great. Food is delicious and portioned for the hungry. Price is A-MA-Zing considering the area. Place isn't fancy at all, AT ALL. But who cares. Great for close friends to go eat, talk loudly, and laugh. Its a lil spot you'll want to know as, your own;) Enjoy!; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.54375; Sentiment_Subjectivity (from 0 to 1): 0.7375 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've eaten at this cart many times and loved it. Last night, however, this was not the case. I got my chicken and rice to go, so I got my sauces on the side. First, I tasted the food without sauce and something tasted "off" but I determined it was just the lack of sauce. Today (since 8am, now 5pm), I've been suffering from food poisoning and about to go to urgent care. Beware.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.17; Sentiment_Subjectivity (from 0 to 1): 0.53 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This is a beautiful and great place to meet with friends to enjoy some wine and decent Italian fare on the UES! Surprisingly large, the interior is dark, warm and cozy with candlelight and wooden beams. Definitely a charming environment. What I noticed about the menu is that they do not offer 'just' pasta. I'm by no means an expert on Italian cuisine, but I did appreciate that they seemed to have a comprehensive menu (as opposed to other restaurants). Their cured meat plate samples seemed to be popular. However, I was in the mood for pasta, and was caught between the ricotta gnocchi and the veal pappardelle. On the recommendation of the waitress, I went with the pappardelle. I felt the veal sauce was nothing special, but I did particularly enjoy the texture of the pappardelle. My husband did not seem too impressed by his salmon entree, however. Great, friendly service. Definitely give this restaurant a try!; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.339404762; Sentiment_Subjectivity (from 0 to 1): 0.559583333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: While in NY for a visit we ate at this lovely restaurant right next door from our hotel.  My husband, my 14 month old, I and six other adults found this place has excellent customer service, beyond any we have encountered.  The food was delicious and came out expediently (I am assuming they realized we had a baby and wanted make sure he did not get fuzzy while waiting for food to arrive.  They went above and beyond their call of duty.  They came by multiple times to make sure we were ok.  They accommodated us with no reservation and made sure we were comfortable.  This place is great and I would recommend it to any of my friends.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.397380952; Sentiment_Subjectivity (from 0 to 1): 0.578492063 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: This place is good, but nothing overwhelming.  Their oysters are top notch and the other seafood dishes are pretty good.  The reason this place gets bumped up to 4 stars; you can pick your beer and they will steam your muscles with it. I like any oyster bar where they keep a chalkboard of their oysters and actually scratch them off after they run out.  If you've ever been there on a busy night, it can sometimes feel like you are trying to race other patrons to get the last group of oysters.  To me, this is a sign of very fresh seafood.  Any menu that permanently displays blue points, malpeques, etc. would not have the turnover adequate to always be presenting the freshest of oysters.  So, while it can be frustrating losing out on some nice Fannie Bay's, you know that whatever you get will be fresh.   Oh yeah, Whiskey Cake too.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.232708333; Sentiment_Subjectivity (from 0 to 1): 0.525 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: What a cute little spot on the UES!! From start to finish, this cozy tapas place has got it goin' on! Don't pass on the tartar or the lobster mac...Amazing! And Heidi even serves you with a smile! Oh, and incredible prices on the wine! Yay Heidi! Oh, and hats off to Freddie-- the fantastic multitasking man behind the bar! A+ guys! P.S. I will now assume I'm Heidi's BFF...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.14921875; Sentiment_Subjectivity (from 0 to 1): 0.692857143 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: food is just alright at joya. i think its hyped because of the atmosphere rather than the food. if you are hungry and want to eat right away do not go here. anytime after 6pm the wait for 2 people is about 45mins to an hour. i just dont understand how and why people wait. its just ok. the fried calamari is tasteless. lots of vegetarian options which is good and i must say their veggie spring rolls are good. it has some curry spice in it.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.317142857; Sentiment_Subjectivity (from 0 to 1): 0.627142857 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: My Hubby took me here for my birthday this past Friday.  We both had never been here before.  The place is really nice.  The bar area is small, but it wasn't crazy crowded when we arrived at 9pm on a Friday night.  It was just right.  They have a  small seating area in the front, where if it's a cold night you will not have a good time sitting there, but a really nice seating area in the back.  We had a drink while we waited for a table in the back.  $12 a pop, but they were strong as hell!!! Can't complain!  And they were really good.  Bartender didn't have Honey Jack, but he decided to create it himself, and it turned out pretty good. Once seated we were welcomed with bread and what appeared to be an olive oil and balsamic vinagrette dipping sauce.  My husband was not a fan.  We ordered Calamari to start, and asked for the sauce not to be spicy.  There were no problems with this request.  The sauce was sooo good we ended up dipping the bread in it.  I had the Pescatore for entree- DEEELISH!!! I am a fan of seafood with pasta, and this was amazing!  It had just the right portion of clams, mussels, and shrimps.  Hubby had the skirt steak, and he was rather pleased with the taste and amount as well.   The music playing over-head was great!!  I've never had a great Italian meal with a side of hip hop!!  It's different, it's cool, I loved it!!  Old School & new, we found ourselves bopping as we ate.   Lost one star because I never saw a dessert menu.  Hubby saw some desserts listed on a chalk board by the bar- which we were seated no where in sight of.  But it was for the best, because we were stuffed anyway.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.350278293; Sentiment_Subjectivity (from 0 to 1): 0.591403834 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: late night drunken fest, ended up here...WTF.. The food is great, prices are very decent and hot sauce, its the best in nYC or maybe the hottest. Had the Chicken sandwich, that was actually a pita? well it was delicious..will be coming back soon...; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.170833333; Sentiment_Subjectivity (from 0 to 1): 0.552083333 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I've been several times now and just getting around to writing a review. I've gone with kids, teenagers, my wife and my 70+ in-laws and everyone found something they loved. The menu changes a little over time, but the classics I've always loved are the BLT Buns (6 stars if possible), Mussels, Oxtail Terrine and Fried Chicken. Nice to go with four or more people so you can share and taste everything. Very friendly service always too. Can't go wrong.; Max_Daily_Reviews: 2; Sentiment_Polarity (from -1 to 1): 0.17; Sentiment_Subjectivity (from 0 to 1): 0.71 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: I love me some chicken and rice!!!  I was introduced to 53rd and 6th chicken and rice when i was in college on long island and we would take trips to the city just for it.  I get the chicken and rice and load it up with some delicious white sauce.  Sooooo good.  beware of the red sauce VERY SCPICY!  But if you can handle it (i can't) i have heard from a bunch of people that it is tasty.  If you havent been before, you need to go!!!!  I believe they are only open from around 7pm to early morning.  There is a fake cart there during the day.  One time i went to get chicken and rice and it was raining, but there was still at least a 20 person line.; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): -0.046228027; Sentiment_Subjectivity (from 0 to 1): 0.61875 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Cool spot. Good food and service; Max_Daily_Reviews: 1; Sentiment_Polarity (from -1 to 1): 0.525; Sentiment_Subjectivity (from 0 to 1): 0.625 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: nice. consistent. not my idea of a date place but maybe a place to get a nice dinner w/ coworkers. extra star awarded for serving hazelnut and pistachio ice cream in real waffle cones. YAY!; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.34; Sentiment_Subjectivity (from 0 to 1): 0.53 [/INST] Not Spam</s>

<s>[INST] <<SYS>> Task Description: You are provided with a review that includes the content, the maximum number of reviews for that Review ID in a single day, the sentiment polarity, and the sentiment subjectivity. Your task is to analyze this information to determine if the review is spam. Input Format: content: [Review Text]; Max_Daily_Reviews: [Maximum number of reviews for the Review ID in one day]; Sentiment_Polarity (from -1 to 1): [Sentiment polarity of the review]; Sentiment_Subjectivity (from 0 to 1): [Sentiment subjectivity of the review] Output Requirement: Output either 'Spam' or 'Not Spam', indicating whether the review is considered spam. Example: Input: content: The food at snack is a selection of popular Greek dishes. The appetizer tray is good as is the Greek salad. We were underwhelmed with the main courses. There are 4-5 tables here so it's sometimes hard to get seated.; Max_Daily_Reviews: 3; Sentiment_Polarity (from -1 to 1): 0.195833333; Sentiment_Subjectivity (from 0 to 1): 0.395833333 Output: Not Spam <</SYS>> content: Love Fort Defiance. How can you not? Great cocktails, fresh seasonal food and a laid back vibe. A must for those who visit Red Hook.; Max_Daily_Reviews: 4; Sentiment_Polarity (from -1 to 1): 0.08; Sentiment_Subjectivity (from 0 to 1): 0.37 [/INST] Not Spam</s>